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Multiple regression of cost data: use of generalised linear models
Abstract
Objective: Choosing an appropriate method for regression analyses of cost data is problematic because it must focus on population means while taking into account the typically skewed distribution of the data. In this paper we illustrate the use of generalised linear models for regression analysis of cost data. Methods: We consider generalised linear models with either an identity link function (providing additive covariate effects) or log link function (providing multiplicative effects), and with gaussian (normal), overdispersed poisson, gamma, or inverse gaussian distributions. These are applied to estimate the treatment effects in two randomised trials adjusted for baseline covariates. Criteria for choosing an appropriate model are presented. Results: In both examples considered, the gaussian model fits poorly and other distributions are to be preferred. When there are variables of prognostic importance in the model, using different distributions can materially affect the estimates obtained; it may also be possible to discriminate between additive and multiplicative covariate effects. Conclusions: Generalised linear models are attractive for the regression of cost data because they provide parametric methods of analysis where a variety of non-normal distributions can be specified and the way covariates act can be altered. Unlike the use of data transformation in ordinary least-squares regression, generalised linear models make inferences about the mean cost directly.
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“Cost data and QALYs will be analysed using generalised linear models to account for non-normal distributions.83”
From Development, evaluation and implementation of a digital behavioural health treatment for chronic pain: study protocol of the multiphase DAHLIA project (2022) · cites this paper as [83]
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Just a phone call away: is telephone advice enough?
Balmer, N. J., Smith, M., Denvir, C., & Patel, A. (2012) · Journal of Social Welfare and Family Law · doi:10.1080/09649069.2012.675465 · Cited by 21
“The gamma distribution function was chosen since advice time (as with cost data, e.g. Barber and Thompson 2004, Montez-Rath et al. 2006) can only take positive values and is highly skewed.”
MethodExcess direct medical costs of severe obesity by socioeconomic status in German adults
von Lengerke, T., John, J., Mielck, A., & KORA Study Group (2010) · PubMed Central · doi:10.3205/psm000063 · Cited by 20
“Following descriptive analysis, annual per-capita costs were analysed by generalized linear modelling as recommended in cost data analysis methodology [32].”
MethodIncremental Dementia-Related Expenditures in a Medicaid Population
Bharmal, M. F., Dedhiya, S. D., Craig, B. Α., Weiner, M., Rosenman, M. B., Sands, L. P., Modi, A., Doebbeling, C. C., & Thomas, J. M. (2011) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e318209dce4 · Cited by 20
Svedbom, A., Dahlén, J., Mamolo, C. M., Cappelleri, J. C., Mallbris, L., Petersson, I. F., & Ståhle, M. (2015) · Acta Dermato Venereologica · doi:10.2340/00015555-2329 · Cited by 20
“In order to control for the potential confounding effect of comorbidities on the mean cost differences between patients and referents in each therapy strata, bootstrapped generalized linear models (GLMs) assuming gamma-distributed costs (31) were fitted to the data.”
MethodReporting and Analysis of Trial-Based Cost-Effectiveness Evaluations in Obstetrics and Gynaecology
Alili, M. E., van Dongen, J. M., Huirne, J. A. F., van Tulder, M. W., & Bosmans, J. E. (2017) · PharmacoEconomics · doi:10.1007/s40273-017-0531-3 · Cited by 20
Chinkhumba, J., de Allegri, M., Mazalale, J., Brenner, S., Mathanga, D., Muula, A., & Robberstad, B. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182326 · Cited by 13
Rhon, D., O'Hagan, E. T., Mysliwiec, V., & Lentz, T. A. (2019) · Spine · doi:10.1097/brs.0000000000003114 · Cited by 14
“The generalized linear model provides flexibility for analysis of costs with a non-normal distribution.(35) We used a generalized linear model with Tweedie distribution and log link to evaluate cost outcomes.”
MethodWhat are the important morbidities associated with paediatric cardiac surgery? A mixed methods study
Brown, K., Pagel, C., Ridout, D. A., Wray, J., Anderson, D. R., Barron, D. J., Cassidy, J. V., Davis, P. J., Hudson, E., Jones, A. S., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-028533 · Cited by 20
Cost-minimization study of the percutaneous approach to endovascular aortic aneurysm repair
Hong, J. C., Yang, G. K., Delarmente, B. A., Khera, R., Price, J., Faulds, J., & Chen, J. (2019) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2019.03.040 · Cited by 19
McMaughan, D. J., Imanpour, S., Mulcahy, A. C., Jones, J. L., & Criss, M. M. (2023) · Autism · doi:10.1177/13623613221143592 · Cited by 20
“The gamma model accounts for this skewness by down-weighting “outlier” hospital discharges with unusually high costs (Barber & Thompson, 2004).”
Keränen, J., Soini, E. J., Ryynänen, O., Hietaniemi, K., & Keränen, U. (2007) · Current Medical Research and Opinion · doi:10.1185/030079907x233223 · Cited by 19
Egger, N., Konnopka, A., Beutel, M. E., Herpertz, S., Hiller, W., Hoyer, J., Salzer, S., Stangier, U., Strauss, B. M., Willutzki, U., et al. (2016) · Depression and Anxiety · doi:10.1002/da.22540 · Cited by 19
“…of healthcare services and the patients’ working capacity differently, development of costs between baseline and the end of follow-up after 30 months were explored with generalized linear mixed models with gamma distribution and log link (Barber & Thompson, 2004; Manning, Basu, & Mullahy, 2005).”
MethodKaplan, Z. L. R., van der Vlegel, M., van Dijck, J. T. J. M., Pisică, D., van Leeuwen, N., Lingsma, H. F., Steyerberg, E. W., Haagsma, J. A., Majdán, M., & Polinder, S. (2023) · Journal of Neurotrauma · doi:10.1089/neu.2022.0429 · Cited by 18
“001 Median [IQR], years 53 [33-68] 55 [35-70] 47 [29-64] 51 [32-67] 16-25 years 449 15.”
Value-driven cardiac surgery: Achieving “perfect care” after coronary artery bypass grafting
Glotzbach, J. P., Sharma, V., Tonna, J. E., Pettit, J. C., McKellar, S. H., Eckhauser, A. W., Varghese, T. K., & Selzman, C. H. (2018) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2018.03.177 · Cited by 18
Development of BMI values of German children and their healthcare costs
Batscheider, A., Rzehak, P., Teuner, C. M., Wolfenstetter, S. B., Leidl, R., Berg, A. V., Berdel, D., Hoffmann, B. H., & Heinrich, J. (2013) · Economics & Human Biology · doi:10.1016/j.ehb.2013.05.007 · Cited by 18
A population‐based estimate of the economic burden of influenza in Peru, 2009–2010
Tinoco, Y. O., Azziz‐Baumgartner, E., Razuri, H. R., Kasper, M. R., Romero, C., Ortiz, E. J., Gómez, J., Widdowson, M., Uyeki, T. M., Gilman, R. H., et al. (2015) · Influenza and Other Respiratory Viruses · doi:10.1111/irv.12357 · Cited by 18
Nam, J., Briggs, A. H., Layland, J. J., Oldroyd, K. G., Curzen, N. P., Sood, A., Balachandran, K. P., Das, R., Junejo, S., Eteiba, H., et al. (2015) · Cost Effectiveness and Resource Allocation · doi:10.1186/s12962-015-0045-9 · Cited by 18
“GLM is the appropriate method when the objective is to obtain efficient estimation of skewed variables [20, 25–27].”
MethodBoye, K. S., Lage, M. J., & Thieu, V. T. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01212-4 · Cited by 17
“Specifically, given the skewed nature of cost data, generalized linear models (GLM) with gamma distribution and log link [12] were used to examine diabetes-related total costs, outpatient costs, and drug costs, while diabetes-related acute care costs were examined using a two-part model.”
MethodViral lower respiratory tract infections and preterm infants’ healthcare utilisation
Drysdale, S. B., Alcazar‐Paris, M., Wilson, T. M., Smith, M. H., Zuckerman, M. A., Peacock, J. L., Johnston, S. L., & Greenough, A. (2014) · European Journal of Pediatrics · doi:10.1007/s00431-014-2380-9 · Cited by 17
“29 Respiratory 323 [1,165] 244 [1,119] 0 [0] 0.”
MethodInfluentialCanaway, A., Pincus, T., Underwood, M. R., Shapiro, Y., Chodick, G., & Ami, N. B. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-019928 · Cited by 17
Costs and Their Predictors in Transsphenoidal Pituitary Surgery
Asemota, A. O., Ishii, M., Brem, H., & Gallia, G. L. (2018) · Neurosurgery · doi:10.1093/neuros/nyy441 · Cited by 17
Shickh, S., Clausen, M., Mighton, C. E., Salazar, M. G., Zakoor, K.-R., Kodida, R., Reble, E., Elser, C., Eisen, A. F., Panchal, S., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-031092 · Cited by 18
Esposti, L. D., Desideri, G., Saragoni, S., Buda, S., Pontremoli, R., & Borghi, C. (2016) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2016.06.008 · Cited by 16
“A generalized linear model with an identity link function and a gamma distribution was used to estimate the association between healthcare costs and SUA levels [34].”
MethodDakin, H., & Gray, A. M. (2018) · Medical Decision Making · doi:10.1177/0272989x18758018 · Cited by 16
Health care costs of endovascular compared with open thoracoabdominal aortic aneurysm repair
Rocha, R. V., de Mestral, C., Tam, D. Y., Lee, D. S., Al-Omran, M. A., Austin, P. C., Forbes, T. L., Ouzounian, M., & Lindsay, T. F. (2020) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2020.09.034 · Cited by 16
Igarashi, M., Okuyama, K., Ueda, N., Sano, H., Takahashi, K., Qureshi, Z. P., Tokita, S., Ogawa, A., Okumura, Y., & Okuda, S. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-062141 · Cited by 16
Periodontal treatment associated with decreased diabetes mellitus–related treatment costs
Thakkar‐Samtani, M., Heaton, L. J., Kelly, A. L., Taylor, S. D., Vidone, L., & Tranby, E. P. (2023) · The Journal of the American Dental Association · doi:10.1016/j.adaj.2022.12.011 · Cited by 16
Jassil, F. C., Carnemolla, A., Kingett, H., Paton, B. M., O’Keeffe, A. G., Doyle, J., Stephen Morris, A., Lewis, N., Kirk, A., Pucci, A. B. F., et al. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-020659 · Cited by 20
“To account for skewness of the cost data, we will use a generalised linear model with gamma family and log link.(58)”
Method
Metadata
- Authors
- Barber, J., & Thompson, S.
- Affiliations
- University College London (GB)
- MRC Biostatistics Unit (GB)
- Venue
- Journal of Health Services Research & Policy
- Publisher
- SAGE Publications
- Published
- 2004-10-02
- Volume
- 9
- Issue
- 4
- Pages
- 197-204
- ISSN
- 1355-8196 (ISSN-L)
- 1758-1060
- OpenAlex
- W1996146145
- Cited by
- 404
- References
- 20
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 17 · 2023: 18 · 2022: 27 · 2021: 29 · 2020: 32 · 2019: 29 · 2018: 32 · 2017: 28 · 2016: 28 · 2015: 23 · 2014: 22 · 2013: 17 · 2012: 20
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Health Services Research & Policy (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- cost data, generalized linear models, skewed distributions, gamma distribution, inverse Gaussian distribution, log link function, treatment effects, baseline covariate adjustment, model selection criteria
- MeSH terms
- Costs and Cost Analysis, United Kingdom, Health Services Research, Normal Distribution, Linear Models
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