Review of statistical methods for analysing healthcare resources and costs
Open accessAbstract
We review statistical methods for analysing healthcare resource use and costs, their ability to address skewness, excess zeros, multimodality and heavy right tails, and their ease for general use. We aim to provide guidance on analysing resource use and costs focusing on randomised trials, although methods often have wider applicability. Twelve broad categories of methods were identified: (I) methods based on the normal distribution, (II) methods following transformation of data, (III) single-distribution generalized linear models (GLMs), (IV) parametric models based on skewed distributions outside the GLM family, (V) models based on mixtures of parametric distributions, (VI) two (or multi)-part and Tobit models, (VII) survival methods, (VIII) non-parametric methods, (IX) methods based on truncation or trimming of data, (X) data components models, (XI) methods based on averaging across models, and (XII) Markov chain methods. Based on this review, our recommendations are that, first, simple methods are preferred in large samples where the near-normality of sample means is assured. Second, in somewhat smaller samples, relatively simple methods, able to deal with one or two of above data characteristics, may be preferable but checking sensitivity to assumptions is necessary. Finally, some more complex methods hold promise, but are relatively untried; their implementation requires substantial expertise and they are not currently recommended for wider applied work.
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Exponential weighting has previously been used in both medical and non-medical error/risk analysis.
“exponential weighting has previously been used in both medical42–44 and non-medical45 46 error/risk analysis.”
From Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice (2025) · cites this paper as [43]
Section 3.1 discusses exponential conditional mean models and variance weighting in analyses of healthcare costs, but neither passage describes exponential weighting in error or risk analysis. Searches for “exponential weighting” and “weighting error risk analysis” found no passage establishing the claimed prior use in medical or non-medical settings. (LLM, conf=0.74)
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Cites
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BackgroundMethodModeling risk using generalized linear models.
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“…generalized linear models (GLMs) a mean function (between the linear predictor and the mean) and a variance function (between the mean and variance on the original scale) are specified and the parameters are estimated given these structural assumptions (see general theory in Blough et al. (1999)).”
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Cantoni, E., & Ronchetti, E. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753209004 · Cited by 404 · cited 1× · see citing works
“Furthermore in the case of unknown separation (latent mixture models) and more than two components the identification of all components might be difficult because of the increasing overlap of distributions (Cameron and Trivedi, 2009).”
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“The benefits of this proposition have not been observed in the case of the RAND HIE and are unlikely to hold generally in randomised studies when the interest is in the estimated mean (Duan et al., 1984; Maddala, 1985; Manning et al., 1987).”
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“These include approaches based on mixtures of distributions, non-parametric density approximation, data components, model averaging and Markov chain methods.”
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“…al., 1999), the estimation for the link and variance and the incorporation of the uncertainty from this estimation (including underlying heteroscedasticity) in the final parameter estimates is rarely done; for an exception see the Extended Estimating Equations approach in Basu and Rathouz (2005).”
BackgroundChoosing Between the Sample-Selection Model and the Multi-Part Model
Duan, N.-H., Manning, W., Morris, C., & Newhouse, J. (1984) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1984.10509396 · Cited by 350 · cited 1× · see citing works
“The benefits of this proposition have not been observed in the case of the RAND HIE and are unlikely to hold generally in randomised studies when the interest is in the estimated mean (Duan et al., 1984; Maddala, 1985; Manning et al., 1987).”
MethodAnalysis of repeated measures data with clumping at zero
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“An extended two-part model, which explicitly models and estimates the correlation between the logistic and lognormal part for repeated measures data, is suggested by Tooze (Tooze et al., 2002) and is shown to outperform the model with uncorrelated random effects.”
MethodThe Distribution of Health Care Costs and Their Statistical Analysis for Economic Evaluation
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“20: 897–916 (2011) DOI: 10.1002/hec (Austin et al., 2003; Basu, 2005; Briggs et al., 2005; Briggs and Gray, 1998; Chen and Zhou, 2006; Deb and Burgess, 2003; Dinh and Zhou, 2006; Duan et al., 1983; Dudley et al., 1993; Gilleskie and Mroz, 2004; O’Hagan and Stevens, 2003; Thompson and Barber, 2000;…”
BackgroundMethodInfluentialSelf-citationStatistics in medical journals: some recent trends
Altman, D. G. (2000) · Statistics in Medicine · doi:10.1002/1097-0258(20001215)19:23 · Cited by 252 · see citing works
Self-citationUsing Generalized Linear Models to Assess Medical Care Costs
Blough, D., & Ramsey, S. (2000) · Health Services & Outcomes Research Methodology · doi:10.1023/a:1012597123667 · Cited by 225 · cited 2× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
BackgroundMethodHealth Care Reform and the Number of Doctor Visits - an Econometric Analysis
Winkelmann, R. (2004) · Social Science Research Network · doi:10.1002/jae.764 · Cited by 203 · cited 3×
“…employed in the second part to evaluate mean costs, and truncated-at-zero Poisson, negative binomial (Grootendorst, 1995; Pohlmeier and Ulrich, 1995), or truncated Poisson-lognormal models (Winkelmann, 2004) to evaluate resource use (for a wider range of hurdle models please refer to Hilbe (2007)).”
BackgroundMethodNixon, R., Wonderling, D., & Grieve, R. (2010) · Health Economics · doi:10.1002/hec.1477 · Cited by 194 · see citing works
Comparing alternative models: log vs Cox proportional hazard?
Basu, A., Manning, W., & Mullahy, J. (2004) · Health Economics · doi:10.1002/hec.852 · Cited by 183 · cited 5× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
BackgroundMethodInfluentialThe demand for episodes of mental health services.
Keeler, E., Manning, W., & Wells, K. B. (1988) · Journal of Health Economics · doi:10.1016/0167-6296(88)90021-5 · Cited by 174 · cited 1× · see citing works
“A Weibull survival model was suggested for the hazard of initiating mental health service use as duration on treatment (time from initiating treatment to end of year) was indicative of cost (Keeler et al., 1988).”
MethodFitting the distributions of length of stay by parametric models.
Marazzi, A., Paccaud, F., Ruffieux, C., & Beguin, C. (1998) · Medical Care · doi:10.1097/00005650-199806000-00014 · Cited by 161 · cited 2× · see citing works
“Two and three-parameter lognormal and log-logistic distributions are used by Nixon and Thompson (Nixon and Thompson, 2004; Thompson and Nixon, 2005) to model costs, and lognormal and Weibull models are used by Marazzi et al. (1998) to model length of stay in hospital.”
MethodFaddy, M., Graves, N., & Pettitt, A. (2009) · Value in Health · doi:10.1111/j.1524-4733.2008.00421.x · Cited by 152 · cited 1× · see citing works
“An implementation of the approach in evaluating mean length of stay shows better in-sample fit of a phase-type distribution compared with lognormal and gamma models (Faddy et al., 2009).”
MethodLatent class versus two-part models in the demand for physician services across the European Union.
Jimenez-Martin, S., Labeaga, J., & Martínez-Granado, M. (2002) · Health Economics · doi:10.1002/hec.672 · Cited by 150 · cited 2×
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
MethodCameron, A., Li, T., Trivedi, P., & Zimmer, D. M. (2004) · doi:10.1111/j.1368-423x.2004.00144.x · Cited by 145 · cited 1×
“…include: a bivariate Poisson distribution (Cameron and Johansson, 1998), negative binomial marginal distribution and copula functions (Cameron et al., 2004), independent Poisson distributions with conditional mean functions that depend on correlated latent effects (Chib and…”
BackgroundIssues for the Next Generation of Health Care Cost Analyses
Basu, A., & Manning, W. (2009) · Medical Care · doi:10.1097/mlr.0b013e31819c94a1 · Cited by 144 · cited 1× · see citing works
“Recently, Basu and Manning (2009) concluded, ‘No current method is optimal or dominant for all cost applications.”
BackgroundA comparison of several regression models for analysing cost of CABG surgery
Austin, P. C., Ghali, W. A., & Tu, J. V. (2003) · Statistics in Medicine · doi:10.1002/sim.1442 · Cited by 142 · cited 7× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
BackgroundMethodInfluentialMunkin, M. K., & Trivedi, P. (1999) · doi:10.1111/1368-423x.00019 · Cited by 136
Deb, P., & Holmes, A. (2000) · Health Economics · doi:10.1002/1099-1050(200009)9:6 · Cited by 128 · see citing works
Standard errors for the retransformation problem with heteroscedasticity.
Ai, C.-R., & Norton, E. C. (2000) · Journal of Health Economics · doi:10.1016/s0167-6296(00)00046-1 · Cited by 120 · cited 3×
“Thus, the approaches for back transformation are dominated by Duan’s non-parametric smearing when the error term is homoskedastic (Duan, 1983) and its variants when the error term is heteroskedastic across the compared groups (Ai and Norton, 2000; Duan et al., 1983; Manning, 1998).”
MethodO'Hagan, A., & Stevens, J. W. (2003) · Health Economics · doi:10.1002/hec.699 · Cited by 119 · cited 2× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
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“such as the semiparametric Cox proportional hazards model (Austin et al., 2003; Basu et al., 2004; Dudley et al., 1993; Lipscomb et al., 1998) and the parametric Weibull proportional hazards model (Dudley et al.”
BackgroundMethodInfluentialA comparison of alternative models of prescription drug utilization.
Grootendorst, P. V. (1995) · Health Economics · doi:10.1002/hec.4730040304 · Cited by 109
Parametric modelling of cost data in medical studies
Nixon, R., & Thompson, S. (2004) · Statistics in Medicine · doi:10.1002/sim.1744 · Cited by 108 · cited 1× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
MethodSelf-citationParametric modelling of cost data: some simulation evidence.
Briggs, A., Nixon, R., Dixon, S., & Thompson, S. (2005) · Health Economics · doi:10.1002/hec.941 · Cited by 102 · see citing works
Self-citationThe Retransformed Mean after a Fitted Power Transformation
Taylor, J. M. G. (1986) · doi:10.1080/01621459.1986.10478246 · Cited by 100
Two-part multiple spell models for health care demand
Silva, J. S. S., & Windmeijer, F. (2001) · doi:10.1920/wp.ifs.1999.9902 · Cited by 97 · cited 1×
“Santos-Silva and Windmeijer suggest more appropriate modelling of spells of care and number of visits per spell through a Poisson model for the first part (number of spells) and a logarithmic model for the second part (number of visits per spell) (Santos-Silva and Windmeijer, 2001).”
BackgroundA robust approach for skewed and heavy-tailed outcomes in the analysis of health care expenditures.
Cantoni, E., & Ronchetti, E. (2006) · Journal of Health Economics · doi:10.1016/j.jhealeco.2005.04.010 · Cited by 93 · cited 1× · see citing works
“…al., 2005), more complex specification of the mean–variance relationships (Basu, 2005; Basu et al., 2006; Blough et al., 1999) and GLM estimators that are more robust to outliers (and potentially more suitable for very heavy-tailed data) (Cantoni and Ronchetti, 2001; Cantoni and Ronchetti, 2006).”
BackgroundHow Sensitive Are Cost-Effectiveness Analyses to Choice of Parametric Distributions?
Thompson, S., & Nixon, R. (2005) · Medical decision making · doi:10.1177/0272989x05276862 · Cited by 92 · see citing works
Self-citationGeneralized hurdle count data regression models
Gurmu, S. (1998) · doi:10.1016/s0165-1765(97)00295-4 · Cited by 89 · cited 1×
“A hurdle model with a generalised logistic model in the first part is proposed by Gurmu (1998) and a modified second part in the two-part model is suggested by Mullahy (1998).”
MethodBasu, A., Arondekar, B., & Rathouz, P. (2006) · Health Economics · doi:10.1002/hec.1099 · Cited by 83 · cited 5× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
BackgroundMethodInfluentialSequence Effects, Health Profiles, and the QALY Model
Krabbe, P., & Bonsel, G. (1998) · Medical decision making · doi:10.1177/0272989x9801800207 · Cited by 80 · see citing works
Let Them Eat Cake: A Note on Comparing Alternative Models of the Demand for Medical Care
Hay, J., & Olsen, R. J. (1984) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1984.10509395 · Cited by 80 · cited 1× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
MethodHill, S. C., & Miller, G. (2009) · Health Economics · doi:10.1002/hec.1498 · Cited by 75 · cited 1× · see citing works
“In circumstances where few of these issues exist then a sample size in the hundreds may be large enough, but where these issues are all present then a sample size of thousands may nevertheless be too small.”
BackgroundNonparametric confidence intervals for the one- and two-sample problems.
Zhou, X.-H., & Dinh, P. (2005) · Biostatistics · doi:10.1093/biostatistics/kxi002 · Cited by 73 · cited 3× · see citing works
“…to account for skewness and have been shown to provide more efficient estimates but these modifications are subject to a degree of subjectivity in the choice of transformation and do not generally allow for adjustment for covariates (Chen and Zhou, 2006; Dinh and Zhou, 2006; Zhou and Dinh, 2005).”
BackgroundMethodA bivariate zero-inflated negative binomial regression model for count data with excess zeros
Wang, P.-M. (2003) · doi:10.1016/s0165-1765(02)00262-8 · Cited by 69 · cited 2×
“…2001), a multivariate overdispersed Poisson mixture model (Gurmu and Elder, 2000), bivariate Poisson-lognormal mixture and bivariate negative binomial regression models (Munkin and Trivedi, 1999), and a bivariate zero-inflated binomial regression for count data with excess zeros (Wang, 2003).”
MethodGeneralized bivariate count data regression models
Gurmu, S., & Elder, J. (2000) · doi:10.1016/s0165-1765(00)00225-1 · Cited by 68 · cited 2×
“, 2004), independent Poisson distributions with conditional mean functions that depend on correlated latent effects (Chib and Winkelmann, 2001), a multivariate overdispersed Poisson mixture model (Gurmu and Elder, 2000), bivariate Poisson-lognormal mixture and bivariate negative binomial regression models (Munkin and…”
MethodBasu, A. (2005) · doi:10.1177/1536867x1501500204 · Cited by 64 · cited 4×
“20: 897–916 (2011) DOI: 10.1002/hec (Austin et al., 2003; Basu, 2005; Briggs et al., 2005; Briggs and Gray, 1998; Chen and Zhou, 2006; Deb and Burgess, 2003; Dinh and Zhou, 2006; Duan et al., 1983; Dudley et al., 1993; Gilleskie and Mroz, 2004; O’Hagan and Stevens, 2003; Thompson and Barber, 2000;…”
BackgroundMethodInfluentialAn application of mixture distributions in modelization of length of hospital stay
Atienza, N., García-Heras, J., Muñoz-Pichardo, J., & Villa, R. (2008) · Statistics in Medicine · doi:10.1002/sim.3029 · Cited by 62 · cited 2×
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
BackgroundMethodInterval estimates for the ratio and difference of two lognormal means
Chen, Y.-H., & Zhou, X.-H. (2006) · Statistics in Medicine · doi:10.1002/sim.2504 · Cited by 54 · cited 4×
“…included an informal comparison of different methods and approaches applied to the same data (Austin et al., 2003; Briggs and Gray, 1998; Buntin and Zaslavsky, 2004; Chen and Zhou, 2006; Cooper et al., 2007; Lipscomb et al., 1998; Manning and Mullahy, 2001; O’Hagan and Stevens, 2003; Zhou, 2002).”
BackgroundMethodInfluentialThe truncated mean of an asymmetric distribution
Marazzi, A., & Ruffieux, C. (1999) · doi:10.1016/s0167-9473(99)00018-3 · Cited by 54 · cited 2×
“Two and three-parameter lognormal and log-logistic distributions are used by Nixon and Thompson (Nixon and Thompson, 2004; Thompson and Nixon, 2005) to model costs, and lognormal and Weibull models are used by Marazzi et al. (1998) to model length of stay in hospital.”
BackgroundCooper, N. J., Lambert, P. C., Abrams, K. R., & Sutton, A. J. (2006) · Health Economics · doi:10.1002/hec.1141 · Cited by 52 · cited 1× · see citing works
“…included an informal comparison of different methods and approaches applied to the same data (Austin et al., 2003; Briggs and Gray, 1998; Buntin and Zaslavsky, 2004; Chen and Zhou, 2006; Cooper et al., 2007; Lipscomb et al., 1998; Manning and Mullahy, 2001; O’Hagan and Stevens, 2003; Zhou, 2002).”
MethodAdaptively truncated maximum likelihood regression with asymmetric errors
Marazzi, A., & Yohai, V. (2004) · doi:10.1016/j.jspi.2003.06.011 · Cited by 52
Lu, Z.-D., Hui, Y. V., & Lee, A. H. (2003) · Biometrics · doi:10.1111/j.0006-341x.2003.00117.x · Cited by 45 · cited 1×
“More robust estimation procedures via alternatives to maximum likelihood have been recently suggested (Lu et al., 2003).”
MethodA flexible approach for estimating the effects of covariates on health expenditures.
Gilleskie, D. B., & Mroz, T. (2000) · Journal of Health Economics · doi:10.3386/w7942 · Cited by 44 · cited 1× · see citing works
“…and kurtosis in data; (2) incorporate adjustment for covariates and extend to cost-effectiveness analysis and (3) be applicable to data sets of small to moderate sample sizes usually available in randomised studies, where these issues were not explicitly considered by the authors themselves.”
MethodImproving Risk Adjustment for Medicare Capitated Reimbursement Using Nonlinear Models
Veazie, P., Manning, W., & Kane, R. (2003) · Medical Care · doi:10.1097/01.mlr.0000065127.88685.7d · Cited by 41 · cited 2×
“For these methods the individual healthcare resource use or cost data is transformed in order to overcome problems of skewness and comparison of means on the transformed scale (Briggs and Gray, 1998) or OLS type approaches (as above) to model the transformed dependent variable are employed (Ai and Norton, 2000; Duan e…”
MethodUse of Bayesian Markov Chain Monte Carlo Methods to Model Cost-of-Illness Data
Cooper, N., Sutton, A., Mugford, M., & Abrams, K. (2003) · Medical decision making · doi:10.1177/0272989x02239653 · Cited by 35 · cited 1× · see citing works
“A Bayesian implementation of a two-part model in WinBUGS is illustrated by Cooper et al. (2003).”
MethodEstimating the costs for a group of geriatric patients using the Coxian phase‐type distribution
Marshall, A., Shaw, B., & McClean, S. (2004) · Statistics in Medicine · doi:10.1002/sim.2728 · Cited by 33 · cited 1×
“An approach based on a finite Markov chain is suggested to estimate resource use over different phases of health care (Coxian phase-type distribution) and evaluate total cost by attaching unit costs to these phases (Marshall et al., 2007).”
MethodNonparametric Statistical Methods for Cost‐Effectiveness Analyses
Dinh, P., & Zhou, X.-H. (2006) · Biometrics · doi:10.1111/j.1541-0420.2006.00509.x · Cited by 30 · cited 1×
“The four-part model in Duan (1983) (see Section 3.”
BackgroundInferences about population means of health care costs
Zhou, X. (2002) · Statistical Methods in Medical Research · doi:10.1191/0962280202sm290ra · Cited by 29 · cited 1×
“General methods for count data have been extensively described elsewhere (Cameron and Trivedi, 1998; Winkelmann, 2008).”
MethodCOMPUTING MARGINAL EFFECTS IN THE BOX–COX MODEL
Abrevaya, J. (2002) · Econometric Reviews · doi:10.1081/etc-120015789 · Cited by 27 · cited 2× · see citing works
“Alternative approaches of direct numerical integration over fully parameterized error distributions are proposed by Abrevaya (2002) and Ai and Norton (2000), while Ai and Norton (2008) propose a more general semi-parametric approach.”
MethodLambert, P., Billingham, L., Cooper, N., Sutton, A., & Abrams, K. (2008) · Health Economics · doi:10.1002/hec.1243 · Cited by 25 · cited 6× · see citing works
“Lambert et al., also illustrate the possibility to increase the flexibility using a two-part model for cost components with excess zeros (Lambert et al., 2008).”
BackgroundMethodInfluentialSmooth quantile ratio estimation
Dominici, F., Cope, L., Naiman, D., & Zeger, S. (2005) · doi:10.1093/biomet/92.3.543 · Cited by 21 · cited 2×
“Regression of the quantiles of costs (Wang and Zhou, 2010) has been shown to have competitive and more robust performance compared to the smooth quantile ratio estimator (Dominici et al., 2005), maximum likelihood estimator, generalised linear models based on quasilikelihood (Blough and Ramsey, 2000), and the internal…”
A Bayesian model averaging approach for cost-effectiveness analyses.
Conigliani, C., & Tancredi, A. (2009) · Health Economics · doi:10.1002/hec.1404 · Cited by 20 · cited 3× · see citing works
“Conigliani and Tancredi (2006; 2009) showed that the performance of Bayesian model averaging depends on what models are averaged over and whether there was a model included that fits the data well; otherwise an approach based on mixtures of distributions seemed more appropriate in terms of coverage.”
BackgroundA Semiparametric Derivative Estimator in Log Transformation Models
Ai, C.-R., & Norton, E. C. (2008) · doi:10.1111/j.1368-423x.2008.00252.x · Cited by 20
Dominici, F., & Zeger, S. (2005) · Biostatistics · doi:10.1093/biostatistics/kxi031 · Cited by 19
Estimation of the retransformed conditional mean in health care cost studies
Wang, H., & Zhou, X. (2010) · doi:10.1093/biomet/asp072 · Cited by 16 · cited 2×
“Regression of the quantiles of costs (Wang and Zhou, 2010) has been shown to have competitive and more robust performance compared to the smooth quantile ratio estimator (Dominici et al., 2005), maximum likelihood estimator, generalised linear models based on quasilikelihood (Blough and Ramsey,…”
BackgroundMethodAn illustration of the modelling of cost and efficacy data from a clinical trial
Hahn, S., & Whitehead, A. (2003) · Statistics in Medicine · doi:10.1002/sim.1459 · Cited by 16 · cited 2×
“The applications published to date refer to components of costs or resource use modelled as bivariate or multivariate normally or lognormally distributed data (Hahn and Whitehead, 2003; Lambert et al., 2008).”
BackgroundPairwise comparisons of the means of skewed data
Tu, W., & Zhou, X.-H. (2000) · doi:10.1016/s0378-3758(99)00206-2 · Cited by 16
Semi‐parametric modelling for costs of health care technologies
Conigliani, C., & Tancredi, A. (2005) · Statistics in Medicine · doi:10.1002/sim.2012 · Cited by 13 · cited 3× · see citing works
“A second is models which allow for potentially heavy upper tails, while allowing flexible (or even non-parametric) distributions for the bulk of the data (Conigliani and Tancredi, 2005).”
BackgroundMethodBootstrap tests for robust means of asymmetric distributions with unequal shapes
Marazzi, A. (2002) · doi:10.1016/s0167-9473(01)00088-3 · Cited by 8 · cited 2×
“Two and three-parameter lognormal and log-logistic distributions are used by Nixon and Thompson (Nixon and Thompson, 2004; Thompson and Nixon, 2005) to model costs, and lognormal and Weibull models are used by Marazzi et al. (1998) to model length of stay in hospital.”
BackgroundECONOMETRIC MODELS OF EVENT COUNTS
Trivedi, P. K. (1997) · Journal of Applied Econometrics · doi:10.1002/(sici)1099-1255(199705)12:3 · Cited by 7 · see citing works
Survival models for cost data: The forgotten additive approach
Pagano, E., Petrinco, M., Desideri, A., Bigi, R., Merletti, F., & Gregori, D. (2008) · Statistics in Medicine · doi:10.1002/sim.3215 · Cited by 7 · cited 1× · see citing works
“Another survival type approach suggested in the literature is the Aalen regression model with additive hazard function (Pagano et al., 2008).”
A test for proportional hazards assumption within the class of exponential conditional mean models
Basu, A., & Manning, W. (2006) · Health Services & Outcomes Research Methodology · doi:10.1007/s10742-006-0002-3 · Cited by 4 · cited 2× · see citing works
“This model shows good performance when the proportional hazards assumption holds; a test for proportional hazards is suggested by Basu and Manning (2006).”
BackgroundMethodHollenbeak, C. (2005) · Statistics in Medicine · doi:10.1002/sim.2172 · Cited by 3
Flagged first, then by citations
17 of the 99 references couldn’t be matched to a known paper.
Research works printed but not linked: 16
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Cited by
Sorted by citations
Antibiotic resistance threats in the United States, 2019
(U.S.), C. F. D. C. A. P. (2019) · doi:10.15620/cdc:82532 · Cited by 5,782 · see citing works
Belotti, F., Deb, P., Manning, W., & Norton, E. (2015) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1501500102 · Cited by 588 · see citing works
Health-related quality of life measured using the EQ-5D–5L: South Australian population norms
McCaffrey, N., Kaambwa, B., Currow, D. C., & Ratcliffe, J. (2016) · Health and Quality of Life Outcomes · doi:10.1186/s12955-016-0537-0 · Cited by 471 · see citing works
“This model controls for skewness and heteroscedasticity and approximates the distribution of the data based on the modified Park test [53, 54].”
MethodAutomated Identification of Adults at Risk for In-Hospital Clinical Deterioration
Escobar, G. J., Liu, V. X., Schuler, A., Lawson, B., Greene, J. D., & Kipnis, P. (2020) · New England Journal of Medicine · doi:10.1056/nejmsa2001090 · Cited by 314 · see citing works
Economic evaluation alongside randomised controlled trials: design, conduct, analysis, and reporting
Petrou, S., & Gray, A. (2011) · British medical journal · doi:10.1136/bmj.d1548 · Cited by 313 · see citing works
“Although cost data are often right skewed because a few patients use very high amounts of resource, producing a distribution that may violate the assumptions of standard statistical tests, it is not clear that the many alternative approaches suggested, such as bootstrapping, provide more reliable test results.”
BackgroundStatistical models for the analysis of skewed healthcare cost data: a simulation study
Malehi, A. S., Pourmotahari, F., & Angali, K. A. (2015) · Health Economics Review · doi:10.1186/s13561-015-0045-7 · Cited by 260 · see citing works
“The general consensus is that estimating the mean cost using a logarithmic regression model leads to biased estimation [2,4-6].”
BackgroundResultInfluentialNelson, R., Hatfield, K. M., Wolford, H. M., Samore, M., Scott, R., Reddy, S. C., Olubajo, B., Paul, P., Jernigan, J., & Baggs, J. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1581 · Cited by 256 · see citing works
Comparison of the Financial Burden of Survivors of Head and Neck Cancer With Other Cancer Survivors
Massa, S., Osazuwa-Peters, N., Boakye, E. A., Walker, R. J., & Ward, G. (2019) · JAMA Otolaryngology - Head and Neck Surgery · doi:10.1001/jamaoto.2018.3982 · Cited by 239 · see citing works
Stokes, M., Ye, X., Shah, M., Mercaldi, K., Reynolds, M., Rupnow, M., & Hammond, J. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-135 · Cited by 239
Reeves, D., Blickem, C., Vassilev, I., Brooks, H., Kennedy, A., Richardson, G., & Rogers, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098340 · Cited by 213 · see citing works
“To account for this, we followed a recommendation to apply standard regression using a bootstrap estimate of standard error, and to repeat the analysis with and without the extreme values [49].”
MethodMarson, A., Burnside, G., Appleton, R., Smith, D., Leach, J. P., Sills, G., Tudur-Smith, C., Plumpton, C., Hughes, D. A., Williamson, P., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00247-6 · Cited by 208 · see citing works
The extra resource burden of in‐hospital falls: a cost of falls study
Morello, R., Barker, A. L., Watts, J. J., Haines, T. P., Zavarsek, S., Hill, K., Brand, C. A., Sherrington, C., Wolfe, R. S., Bohensky, M. A., et al. (2015) · The Medical Journal of Australia · doi:10.5694/mja15.00296 · Cited by 212 · see citing works
Medication Nonadherence in Diabetes
Egede, L. E., Gebregziabher, M., Dismuke, C. E., Lynch, C. P., Axon, R. N., Zhao, Y., & Mauldin, P. D. (2012) · Diabetes Care · doi:10.2337/dc12-0572 · Cited by 195 · see citing works
“In addition, most analyses fail to appropriately account for the shared correlation among cost variables (11).”
BackgroundCosts of multimorbidity: a systematic review and meta-analyses
Tran, P. B., Kazibwe, J., Nikolaidis, G. F., Linnosmaa, I., Rijken, M., & van Olmen, J. (2022) · BMC Medicine · doi:10.1186/s12916-022-02427-9 · Cited by 208 · see citing works
Costs to Health Services and the Patient of Treating Tuberculosis: A Systematic Literature Review
Laurence, Y. V., Griffiths, U., & Vassall, A. (2015) · PharmacoEconomics (Auckland) · doi:10.1007/s40273-015-0279-6 · Cited by 180 · see citing works
“We also extracted whether any measures of dispersion, such as standard deviation (SD), around the mean cost values were given [22].”
MethodEconomic evaluation of a task-shifting intervention for common mental disorders in India
Buttorff, C., Hock, R., Weiss, H., Naik, S., Araya, R., Kirkwood, B., Chisholm, D., & Patel, V. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.12.104133 · Cited by 175 · see citing works
Marson, A. G., Burnside, G., Appleton, R. E., Smith, D., Leach, J. P., Sills, G. J., Smith, C. T., Plumpton, C., Hughes, D. A., Williamson, P. R., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00246-4 · Cited by 222 · see citing works
Health literacy and the use of healthcare services in Belgium
Vandenbosch, J., den Broucke, S. V., Vancorenland, S., Avalosse, H., Verniest, R., & Callens, M. G. (2016) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2015-206910 · Cited by 182 · see citing works
Markle‐Reid, M., Ploeg, J., Fraser, K. D., Fisher, K., Bartholomew, A., Griffith, L. E., Miklavcic, J. J., Gafni, A., Thabane, L., & Upshur, R. E. G. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15173 · Cited by 163 · see citing works
“Cost data are often substantially positively skewed (as in this study) and have traditionally been handled using nonparametric methods such as rank-order statistics.(45) We used the nonparametric Mann–Whitney U-test to evaluate differences in median costs between the two groups.”
MethodHealth Care Costs Associated With Incident Complications in Patients With Type 2 Diabetes in Germany
Kähm, K., Laxy, M., Schneider, U., Rogowski, W. H., Lhachimi, S. K., & Holle, R. (2018) · Diabetes Care · doi:10.2337/dc17-1763 · Cited by 141 · see citing works
“In line with literature recommendations, we can assume a near normality of the sample means, as the sample size is sufficiently large and the proportion of zero costs relatively small (,2%) (30).”
BackgroundQuality of life profile of general Vietnamese population using EQ-5D-5L
Nguyen, L., Tran, B., Le, Q. H., Tran, T., & Latkin, C. (2017) · Health and Quality of Life Outcomes · doi:10.1186/s12955-017-0771-0 · Cited by 125 · see citing works
“Generalized linear model (GLM), which could manage skewness and heteroscedasticity, was employed to explore relationships between potential covariates and EQ5D utility scores as well as VAS scores [39, 40].”
MethodBurn, E., Edwards, C., Murray, D., Silman, A., Cooper, C., Arden, N., Pinedo-Villanueva, R., & Prieto-Alhambra, D. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-019146 · Cited by 123 · see citing works
“As both length of stay and hospital reimbursement are non-negative and right-skewed, generalised linear models with a gamma distribution and a log-link were specified.(16) For continuous variables, non-linearity was incorporated using restricted cubic splines.”
Mallucci, C., Jenkinson, M., Conroy, E., Hartley, J., Brown, M., Dalton, J., Kearns, T., Moitt, T., Griffiths, M., Culeddu, G., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31603-4 · Cited by 120 · see citing works
The impact of severe haemophilia and the presence of target joints on health-related quality-of-life
O'Hara, J., Walsh, S., Camp, C., Mazza, G., Carroll, L., Hoxer, C., & Wilkinson, L. (2018) · Health and Quality of Life Outcomes · doi:10.1186/s12955-018-0908-9 · Cited by 117 · see citing works
“A confirmatory analysis of the family and link functions was conducted using the modified Park test [21, 22].”
MethodAmin, A., Patterson, M., House, J., Giersiefen, H., Spertus, J., Baklanov, D., Chhatriwalla, A. K., Safley, D. M., Cohen, D., Rao, S. V., et al. (2017) · JACC: Cardiovascular Interventions · doi:10.1016/j.jcin.2016.11.049 · Cited by 116 · see citing works
“Costs were trimmed back to the 99th percentile to remove extreme outliers (27,28).”
MethodNelson, R., Hyun, D. Y., Jezek, A., & Samore, M. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab696 · Cited by 113
“This pooled dataset was then used to run multivariable generalized estimating equation (GEE) models with a gamma family and log link [28] to estimate the per-infection attributable cost as measured by an adjusted risk difference between infection patients and their uninfected controls.”
MethodCoping with the economic consequences of ill health in Indonesia.
Sparrow, R., van de Poel, E., Hadiwidjaja, G., Yumna, A., Warda, N., & Suryahadi, A. (2014) · Health Economics · doi:10.1002/hec.2945 · Cited by 112 · see citing works
Methods of sample size calculation in descriptive retrospective burden of illness studies
Johnston, K., Lakzadeh, P., Donato, B., & Szabo, S. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0657-9 · Cited by 109 · see citing works
Pickard, R., Lam, T., Maclennan, G., Starr, K., Kilonzo, M., McPherson, G., Gillies, K., McDonald, A., Walton, K., Buckley, B., et al. (2012) · Health Technology Assessment · doi:10.3310/hta16470 · Cited by 105 · see citing works
Cortaredona, S., & Ventelou, B. (2017) · BMC Medicine · doi:10.1186/s12916-017-0978-2 · Cited by 103 · see citing works
“In our two-stage model, the first part P (cost > 0) was modelled using a logit model; then, conditional on the healthcare spending being positive, the value of the spending was modelled using gamma regressions with log link [28, 29].”
MethodThe First Episode Rapid Early Intervention for Eating Disorders ‐ Upscaled study: Clinical outcomes
Austin, A., Flynn, M., Shearer, J., Long, M., Allen, K., Mountford, V. A., Glennon, D., Grant, N., Brown, A., Franklin‐Smith, M., et al. (2022) · Early Intervention in Psychiatry · doi:10.1111/eip.13139 · Cited by 101 · see citing works
“compared between groups using generalized linear modelling (gamma family, identity link) as recommended to account for the highly skewed nature of cost data (Mihaylova et al., 2011).”
MethodResultTweedie distributions for fitting semicontinuous health care utilization cost data
Kurz, C. F. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0445-y · Cited by 97 · see citing works
“[15] and the literature already mentioned.”
Butler, A. M., Brown, D. S., Durkin, M. J., Sahrmann, J. M., Nickel, K. B., O’Neil, C. A., Olsen, M. A. A., Hyun, D. Y., Zetts, R. M., & Newland, J. G. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.14153 · Cited by 116 · see citing works
Boulton, A. J., & Williford, A. (2018) · Journal of the Society for Social Work and Research · doi:10.1086/701235 · Cited by 91 · see citing works
“Although more research is needed to provide actionable guidance for applied researchers (Mihaylova et al., 2011; Neelon et al., 2016), understanding the nature of the zeros in the data, using theory to distinguish between a single or two-part data-generating process, and reviewing fit diagnostics…”
BackgroundMethodHealthcare Cost and Impact of Persistent Orofacial Pain
Durham, J., Shen, J., Breckons, M., Steele, J., Araújo‐Soares, V., Exley, C., & Vale, L. D. (2016) · Journal of Dental Research · doi:10.1177/0022034516648088 · Cited by 92 · see citing works
Ying, M., Wang, S.-J., Bai, C., & Li, Y. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240194 · Cited by 89 · see citing works
“In a review study, Mihaylova and colleagues recommended that the two-part model be used for modeling expenditure data with excessive zeros [47].”
Sadatsafavi, M., Rousseau, R., Chen, W., Zhang, W., Lynd, L., & Fitzgerald, J. (2014) · Chest · doi:10.1378/chest.13-1619 · Cited by 89 · see citing works
The impact of inappropriate use of short acting beta agonists in asthma.
Fitzgerald, J. M., Tavakoli, H., Lynd, L., Al-Efraij, K., & Sadatsafavi, M. (2017) · Respiratory Medicine · doi:10.1016/j.rmed.2017.08.014 · Cited by 87
The Economic Costs of Childhood Disability: A Literature Review
Shahat, A., & Greco, G. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18073531 · Cited by 80 · see citing works
“Different statistical techniques have been used for presenting the cost results in mean costs including bootstrapping and using the gamma distribution [29,54].”
MethodWeichle, T. W., Hynes, D. M., Durazo-Arvizú, R., Tarlov, E., & Zhang, Q. (2013) · SpringerPlus · doi:10.1186/2193-1801-2-614 · Cited by 82 · see citing works
Determinants of societal costs in Alzheimer's disease: GERAS study baseline results
Dodel, R., Belger, M., Reed, C., Wimo, A., Jones, R. W., Happich, M., Argimón, J., Bruno, G., Vellas, B., & Haro, J. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.02.005 · Cited by 79 · see citing works
“For the base case analysis, generalized linear models (GLMs) were developed using the gamma distribution with a log-link function [26].”
MethodMoran, J. L., & Solomon, P. J. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-68 · Cited by 86 · see citing works
“” [69] and an identity link [12,15] may be analytically sufficient seems not to be the case with our data, although the LMM and log-OLS models were relatively easy to fit and interpret.”
BackgroundMethodResultInfluentialAndersson, E., Persson, S., Hallén, N., Ericsson, Å., Thielke, D., Lindgren, P., Carlsson, K. S., & Jendle, J. (2020) · Diabetologia · doi:10.1007/s00125-020-05277-3 · Cited by 78 · see citing works
Chestnutt, I. G., Hutchings, S., Playle, R., Morgan-Trimmer, S., Fitzsimmons, D., Aawar, N., Angel, L., Derrick, S., Drew, C., Hoddell, C., et al. (2017) · Health Technology Assessment · doi:10.3310/hta21210 · Cited by 75 · see citing works
Ocagli, H., Cella, N., Stivanello, L., Degan, M., & Canova, C. (2020) · Journal of Advanced Nursing · doi:10.1111/jan.14708 · Cited by 74
Vlahiotis, A., Griffin, B., Stavros, A. T., & Margolis, J. M. (2018) · ClinicoEconomics and Outcomes Research · doi:10.2147/ceor.s150260 · Cited by 81 · see citing works
“(Authors’ note: Health care cost data have long been observed to exhibit substantial skewness with long right-sided tails, commonly resulting in large SDs often approaching or exceeding the value of the mean.(26))”
BackgroundReinius, P., Johansson, M., Fjellner, A., Werr, J., Ohlén, G., & Edgren, G. (2013) · European journal of emergency medicine · doi:10.1097/mej.0b013e328358bf5a · Cited by 73 · see citing works
Bang, J. Y., Lakhtakia, S., Thakkar, S. J., Buxbaum, J. L., Waxman, I., Sutton, B. S., Memon, S. F. F., Singh, S., Basha, J., Singh, A., et al. (2023) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(23)00331-x · Cited by 102 · see citing works
Lage, M., & Boye, K. (2020) · Current Medical Research and Opinion · doi:10.1080/03007995.2020.1787971 · Cited by 71 · see citing works
Masiye, F., & Kaonga, O. (2016) · International Journal of Health Policy and Management · doi:10.15171/ijhpm.2016.65 · Cited by 71
Egede, L. E., Walker, R. J., Bishu, K., & Dismuke, C. E. (2016) · Journal of General Internal Medicine · doi:10.1007/s11606-016-3650-1 · Cited by 70 · see citing works
Statistical Methods for Cost-Effectiveness Analyses That Use Data from Cluster Randomized Trials
Gomes, M., Grieve, R., Nixon, R. M., & Edmunds, W. J. (2011) · Medical Decision Making · doi:10.1177/0272989x11407341 · Cited by 60 · see citing works
“Likewise, for CEAs that use end points from CRTs as parameters in a decision model, any probabilistic sensitivity analysis should carefully justify the distributional assumptions of these input parameters.(26,54) To summarize, statistical methods in CEAs that use CRT have to recognize clustering and correlation, as we…”
MethodDuggleby, W., Ploeg, J., McAiney, C., Peacock, S., Fisher, K., Ghosh, S., Markle-Reid, M., Swindle, J., Williams, A., Triscott, J. A., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/10484 · Cited by 67 · see citing works
“Cost data are substantially positively skewed and have traditionally been handled using nonparametric methods [42].”
MethodPopulation Cost Prediction on Public Healthcare Datasets
Sushmita, S., Newman, S., Marquardt, J., Ram, P., Prasad, V., Cock, M. D., & Teredesai, A. (2015) · Digital Health · doi:10.1145/2750511.2750521 · Cited by 67 · see citing works
“It is well recognized that statistical analysis of healthcare cost data poses a number of di culties [16].”
BackgroundImpact of Inpatient Harms on Hospital Finances and Patient Clinical Outcomes
Adler, L. M., Yi, D., Li, M., McBroom, B., Hauck, L. D., Sammer, C. E., Jones, C., Shaw, T., & Classen, D. (2015) · Journal of patient safety · doi:10.1097/pts.0000000000000171 · Cited by 67
EFFECTS OF NCMS ON ACCESS TO CARE AND FINANCIAL PROTECTION IN CHINA
Hou, Z., de Poel, E. V., van Doorslaer, E. K. A., Yu, B., & Meng, Q. (2013) · Health Economics · doi:10.1002/hec.2965 · Cited by 66 · see citing works
Wijeysundera, H., Wang, X.-S., Tomlinson, G., Ko, D. T., & Krahn, M. (2012) · ClinicoEconomics and Outcomes Research · doi:10.2147/ceor.s31552 · Cited by 66 · see citing works
Verberne, W., Dijkers, J., Kelder, J., Geers, A., Jellema, W., Vincent, H. H., van Delden, J. V., & Bos, W. (2018) · BMC Nephrology · doi:10.1186/s12882-018-1004-4 · Cited by 65 · see citing works
Leung, M. Y. M., Pollack, L. M., Colditz, G. A., & Chang, S. (2014) · Diabetes Care · doi:10.2337/dc14-1453 · Cited by 72 · see citing works
“0%) had zeromedical expenditures, the age-, race-, sex-, and BMI-specific annual health care expenditures for both patients with diabetes and those without diabetes were estimated using a twopart model (29,30).”
MethodBedson, E., Bell, D., Carr, D. F., Carter, B., Hughes, D. A., Jorgensen, A., Lewis, H., Lloyd, K. R., McCaddon, A., Moat, S. J., et al. (2014) · Health Technology Assessment · doi:10.3310/hta18480 · Cited by 61 · see citing works
Direct medical costs of COPD--an excess cost approach based on two population-based studies.
Menn, P., Heinrich, J., Huber, R., Jörres, R., John, J., Karrasch, S., Peters, A., Schulz, H., & Holle, R. (2012) · Respiratory Medicine · doi:10.1016/j.rmed.2011.10.013 · Cited by 63 · see citing works
Zhu, Y., Zhao, Z., Guo, J., Wang, Y., Zhang, C., Zheng, J., Zou, Z., & Liu, W. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043139 · Cited by 71 · see citing works
“The skewness and kurtosis of the sample data met the normal distribution criteria [50,51].”
BackgroundMethods of coke quality prediction: A review
North, L., Blackmore, K., Nesbitt, K., & Mahoney, M. (2018) · doi:10.1016/j.fuel.2018.01.090 · Cited by 61
Graves, J. M., Mackelprang, J., Moore, M., Abshire, D., Rivara, F., Jimenez, N., Fuentes, M., & Vavilala, M. (2018) · Health Services Research · doi:10.1111/1475-6773.13096 · Cited by 60 · see citing works
Estimating Costs of an Implementation Intervention
Wagner, T. H., Yoon, J., Jacobs, J. C., So, A., Kilbourne, A. M., Yu, W., & Goodrich, D. E. (2020) · Medical Decision Making · doi:10.1177/0272989x20960455 · Cited by 59 · see citing works
Home‐based pulmonary rehabilitation for COPD using minimal resources: An economic analysis
Burge, A. T., Holland, A. E., McDonald, C. F., Abramson, M. J., Hill, C. J., Lee, A. L., Cox, N. S., Moore, R., Nicolson, C., O’Halloran, P., et al. (2019) · Respirology · doi:10.1111/resp.13667 · Cited by 68 · see citing works
Tibuakuu, M., Okunrintemi, V., Jirru, E., Echouffo-Tcheugui, J. B., Orimoloye, O. A., Mehta, P. K., DeFilippis, A. P., Blaha, M. J., & Michos, E. D. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.4585 · Cited by 66 · see citing works
The relationship between target joints and direct resource use in severe haemophilia
O'Hara, J., Walsh, S., Camp, C., Mazza, G., Carroll, L., Hoxer, C., & Wilkinson, L. (2018) · Health Economics Review · doi:10.1186/s13561-018-0185-7 · Cited by 59 · see citing works
“1) suitable for nonparametric dependent variables [19, 20].”
MethodDirect costs in diabetic and non diabetic people: the population-based Turin study, Italy.
Bruno, G., Picariello, R., Petrelli, A., Panero, F., Costa, G., Cavallo-Perin, P., Demaria, M., & Gnavi, R. (2012) · NMCD. Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2011.04.007 · Cited by 59 · see citing works
“where Y represents the cost and X represents the vector of covariates [18].”
BackgroundMethodLi, C., Zhou, R., Yao, N., Cornwell, T., & Wang, S. (2020) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2020.02.010 · Cited by 58 · see citing works
Kreif, N., Grieve, R., Radice, R., & Sekhon, J. S. (2013) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-013-0109-2 · Cited by 48 · see citing works
“For each subject, continuous confounders (Z1; Z2; Z3; Z4) were generated from bivariate normal distributions with the following means, standard deviations and correlation: Z1 Z2 N 2 4 ; 1 0:2 0:2 1 Z3 Z4 N 2 4 ; 1 0:2 0:2 1 : The treatment indicator t was randomly generated from a Bernoulli distribution with parameter…”
Methodinteractive effects of dementia severity and comorbidities on medicare expenditures
Zhu, C. W., Cosentino, S., Ornstein, K. A., Gu, Y., Andrews, H., & Stern, Y. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-161077 · Cited by 55 · see citing works
Pagano, E., Rosa, M. D. D., Rossi, E., Cinconze, E., Marchesini, G., Miccoli, R., Vaccaro, O., Bonora, E., & Bruno, G. (2016) · NMCD. Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2016.05.002 · Cited by 54 · see citing works
Economic Burden of Reported Lyme Disease in High-Incidence Areas, United States, 2014–2016
Hook, S. A., Jeon, S., Niesobecki, S. A., Hansen, A. P., Meek, J. I., Bjork, J., Dorr, F., Rutz, H., Feldman, K., White, J. L., et al. (2022) · Emerging Infectious Diseases · doi:10.3201/eid2806.211335 · Cited by 52
“As is typical for healthcare cost data, the distribution of total cost was highly skewed, resulting in heteroskedasticity of the residuals in the model (10).”
BackgroundDeb, A., Sambamoorthi, U., Thornton, J., Schreurs, B., & Innes, K. (2017) · Aging & Mental Health · doi:10.1080/13607863.2017.1286454 · Cited by 52 · see citing works
Dismuke, C., & Egede, L. (2011) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2011.03.014 · Cited by 52 · see citing works
“The Heckman [27] model does not address skewness specifically; however, with a large-enough sample, the central limit theorem should provide confidence that sample means will be close to normal [29].”
BackgroundSpoilt for choice: implications of using alternative methods of costing hospital episode statistics.
Geue, C., Lewsey, J., Lorgelly, P., Govan, L., Hart, C., & Briggs, A. (2012) · Health Economics · doi:10.1002/hec.1785 · Cited by 51 · see citing works
“For a comprehensive review of statistical methods to analyse HCE data, see also Dodd et al. (2006) and Mihaylova et al. (2011).”
MethodSelf-citationThe Evolution of Health Care Utilisation and Costs for Inflammatory Bowel Disease Over Ten Years.
Pillai, N., Dusheiko, M., Maillard, M., Rogler, G., Brüngger, B., Bähler, C., & Pittet, V. (2019) · Journal of Crohn's & Colitis · doi:10.1093/ecco-jcc/jjz003 · Cited by 50 · see citing works
Wallace, K., Zhao, X., Misra, R., & Sambamoorthi, U. (2018) · Journal of Diabetes Research · doi:10.1155/2018/4842520 · Cited by 50 · see citing works
“, high positive skewness and heteroscedasticity), we used generalized linear models with a log link function and gamma family distribution for expenditure outcomes [27].”
MethodA Transition Care Coordinator Model Reduces Hospital Readmissions and Costs
Kripalani, S., Chen, G.-H., Ciampa, P. J., Theobald, C., Cao, A.-Z., McBride, M. J., Dittus, R., & Speroff, T. (2019) · Contemporary Clinical Trials · doi:10.1016/j.cct.2019.04.014 · Cited by 49
“Cost outcomes were modeled using two-part models due to excessive zero cost (16, 17).”
MethodExcess medical costs in patients with asthma and the role of comorbidity
Chen, W., Lynd, L., Fitzgerald, J., Marra, C., Balshaw, R., To, T., Tavakoli, H., & Sadatsafavi, M. (2016) · European Respiratory Journal · doi:10.1183/13993003.01141-2016 · Cited by 49 · see citing works
The influence of obesity and overweight on medical costs: a panel data perspective
Mora, T., Gil, J., & Sicras-Mainar, A. (2013) · European Journal of Health Economics · doi:10.1007/s10198-014-0562-z · Cited by 49 · see citing works
“’s [29] literature review confirms that 2PM models perform better.”
An Educational Review About Using Cost Data for the Purpose of Cost-Effectiveness Analysis
Franklin, M., Lomas, J., Walker, S., & Young, T. (2019) · PharmacoEconomics (Auckland) · doi:10.1007/s40273-019-00771-y · Cited by 48 · see citing works
Flórez-Tanus, Á., Padilla, D. P., Zakzuk, J., Caraballo, L. R., & Alvis‐Guzmán, N. (2018) · World Allergy Organization Journal · doi:10.1186/s40413-018-0205-4 · Cited by 52 · see citing works
Atopic dermatitis: the relationship to temperature and seasonality in the United States
Fleischer, A. B. (2018) · International Journal of Dermatology · doi:10.1111/ijd.14289 · Cited by 48 · see citing works
Vecchia, M. D. D., Regis, R., Cunha, T. R., de Andrade, I. M., da Matta, J. C. S., & de Souza, R. D. (2014) · Journal of Prosthodontics · doi:10.1111/jopr.12090 · Cited by 47
Medical Costs and Productivity Loss Due to Mild, Moderate, and Severe Asthma in the United States
Song, H., Blake, K., Wilson, D. L., Winterstein, A., & Park, H. (2020) · Journal of Asthma and Allergy · doi:10.2147/jaa.s272681 · Cited by 46 · see citing works
Elizondo, J. V., Salami, J., Osondu, C. U., Ogunmoroti, O., Arrieta, A., Spatz, E. S., Younus, A., Rana, J. S., Virani, S. S., Blankstein, R., et al. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.116.003614 · Cited by 52 · see citing works
“Because of the right-skewedness of expenditures data (ie, most expenditures are seen in only a small proportion of the population), twopart models were utilized to study expenditures.(27) Two-part models are often used to model health care expenditures, and are the product of: (1) the probability that any given indivi…”
MethodValero-Elizondo, J., Salami, J. A., Ogunmoroti, O., Osondu, C. U., Aneni, E. C., Malik, R., Spatz, E. S., Rana, J. S., Virani, S. S., Blankstein, R., et al. (2016) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.115.002616 · Cited by 51 · see citing works
“Because of the right skewedness of expenditures data (ie, most expenditures are seen in only a small proportion of the population), 2-part models were used to study expenditures.(21) Two-part models are often used to model healthcare expenditures and are the product of: (1) the probability that any given individual ha…”
MethodOut-of-pocket expenses experienced by rural Western Australians diagnosed with cancer
Newton, J. C., Johnson, C. E., Hohnen, H., Bulsara, M., Ives, A., McKiernan, S., Platt, V., Mcconigley, R., Slavova-Azmanova, N., & Saunders, C. (2018) · Supportive Care in Cancer · doi:10.1007/s00520-018-4205-2 · Cited by 45 · see citing works
Sickness and Death: Economic Consequences and Coping Strategies of the Urban Poor in Bangladesh
Khan, F., Bedi, A., & Sparrow, R. (2015) · doi:10.1016/j.worlddev.2015.03.008 · Cited by 45
“We therefore use a fixed effects Poisson model (FEP) in order to deal with these distributions and also avoid retransformation problems of taking natural logs of the outcome variables (Manning and Mullahy 2001, Buntin and Zaslavsky 2004, Mihaylova et al. 2011, Sparrow et al. 2014).”
MethodZhou, Y.-L., Zhao, K., Han, J., Zhao, S.-D., & Cao, J. (2022) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed7100292 · Cited by 44
“and there is a growing number of papers on regression model analysis and cost-benefit comparative analysis based on statistics [36,37].”
BackgroundRitchwood, T. D., Bishu, K. G., & Egede, L. (2017) · International Journal for Equity in Health · doi:10.1186/s12939-017-0683-y · Cited by 44
“The total medical healthcare expenditure is a sum of office-based medical provider expenditure, hospital outpatient expenditure, emergency room expenditure, inpatient hospital (including zero night stays) expenditure, prescription medicine expenditure, dental expenditure, home health care expenditure and other medical…”
BackgroundInfluentialCost-Effectiveness of Cancer Screening: Health and Costs in Life Years Gained.
Ratushnyak, S., Hoogendoorn, M., & van Baal, P. V. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.07.027 · Cited by 43 · see citing works
“To estimate the per capita age-specific quality of life losses and healthcare expenditures for the competing diseases, two-part regression models were fitted, because the distributions of both outcomes were skewed.(24,25) The first part of the model predicted the probability of the outcome variable being 1 (for the qu…”
MethodRaza, W., van de Poel, E., Bedi, A., & Rutten, F. (2015) · Health Economics · doi:10.1002/hec.3307 · Cited by 43 · see citing works
“FEP models are well suited to dealing with such outcomes (Mihaylova et al., 2011; Buntin and Zaslavsky, 2004; Manning and Mullahy, 2001).”
BackgroundJi, Y.-B., Puri, R., Lakhtakia, S., Thakkar, S., Waxman, I., Siddiqui, I. J., Arnold, K., Chaudhary, A., Mehta, S., Singh, A., et al. (2025) · Gut · doi:10.1136/gutjnl-2025-336339 · Cited by 42
Park, S. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06881-8 · Cited by 42 · see citing works
“Because the out-of-pocket spending data is skewed to the right and was not normally distributed, a generalized linear model (GLM) with a log-link function using a gamma distribution was applied, which is the most suitable option for cost data analysis analyzing both mean and variance functions and adjusting the right-…”
MethodLeininger, B. D., McDonough, C. M., Evans, R., Tosteson, T. D., Tosteson, A. N. A., & Brønfort, G. (2016) · The Spine Journal · doi:10.1016/j.spinee.2016.06.014 · Cited by 44 · see citing works
“Generalized estimating equations specifying a poisson distribution and identity link were used to estimate mean costs over the year.[40, 41] Separate models were performed to estimate cost rates for medication use (one week) and lost productivity (one month).”
MethodEconomic burden of multimorbidity in patients with severe asthma: a 20-year population-based study
Chen, W., Safari, A., Fitzgerald, J., Sin, D. D., Tavakoli, H., & Sadatsafavi, M. (2019) · Thorax · doi:10.1136/thoraxjnl-2019-213223 · Cited by 41
Dixon, P., Hollinghurst, S. P., Edwards, L., Thomas, C., Gaunt, D., Foster, A., Large, S., Montgomery, A. A., & Salisbury, C. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012352 · Cited by 39 · see citing works
“The cost-effectiveness analysis used seemingly unrelated regression (SUR), for which we rely on the near normality of differences in sample means and differences in sample variances in large samples.(31) 32 We implemented SUR using the—sureg—command in”
Method
- Authors
- Mihaylova, B., Briggs, A., O'Hagan, A., & Thompson, S. G.
- Affiliations
- University of Oxford (GB)
- University of Glasgow (GB)
- Department of Probability and Statistics, University of Sheffield, Sheffield, UK
- MRC Biostatistics Unit (GB)
- Corresponding author
- Mihaylova, Borislava
- Venue
- Health Economics
- Publisher
- Wiley
- Published
- 2010-08-27
- Volume
- 20
- Issue
- 8
- Pages
- 897-916
- ISSN
- 1057-9230 (ISSN-L)
- 1099-1050
- PMC
- PMC3470917
- OpenAlex
- W2041616439
- Cited by
- 767
- References
- 99
- Citations by year
- 2026: 35 · 2025: 47 · 2024: 51 · 2023: 48 · 2022: 79 · 2021: 85 · 2020: 77 · 2019: 67 · 2018: 58 · 2017: 47 · 2016: 41 · 2015: 39 · 2014: 30 · 2013: 26 · 2012: 23
- FWCI
- 5.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Health Economics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Funders
- British Heart Foundation (RG/08/014/24067)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- health care utilization, health care costs, skewed data, excess zeros, multimodality, generalized linear models, mixture distributions, two-part model, Tobit model, survival analysis, non-parametric methods, data truncation, model averaging, Markov chain analysis, randomised trials, statistical method selection
- MeSH terms
- Data Interpretation, Statistical, Health Resources, Markov Chains, Linear Models, Randomized Controlled Trials as Topic, Health Care Costs
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