The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data
Abstract
The current interest in undertaking cost‐effectiveness analyses alongside clinical trials has lead to the increasing availability of patient‐level data on both the costs and effectiveness of intervention. In a recent paper, we show how cost‐effectiveness analysis can be undertaken in a regression framework. In the current paper we develop a direct regression approach to cost‐effectiveness analysis by proposing the use of a system of seemingly unrelated regression equations to provide a more general method for prognostic factor adjustment with emphasis on sub‐group analysis. This more general method can be used in either an incremental cost‐effectiveness or an incremental net‐benefit approach, and does not require that the set of independent variables for costs and effectiveness be the same. Furthermore, the method can exhibit efficiency gains over unrelated ordinary least squares regression. Copyright © 2003 John Wiley & Sons, Ltd.
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“We will use a SURE model (seemingly unrelated regression equations) to allow for correlated residuals of the cost and effect equations while adjusting for potential confounders (eg, baseline differences in utility scores).110”
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Cites
Cost-Effectiveness in Health and Medicine
(1996) · doi:10.1093/oso/9780195108248.001.0001 · Cited by 7,193
Stein, L. I. (1980) · Archives of General Psychiatry · doi:10.1001/archpsyc.1980.01780170034003 · Cited by 1,902
The Importance of the Normality Assumption in Large Public Health Data Sets
Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.23.100901.140546 · Cited by 1,803
Estimating log models: to transform or not to transform?
Manning, W. G., & Mullahy, J. (2001) · Journal of Health Economics · doi:10.1016/s0167-6296(01)00086-8 · Cited by 1,790
Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R)
Spitzer, R. L., & Williams, J. (1987) · Cited by 1,621
Stinnett, A. A., & Mullahy, J. (1998) · Medical Decision Making · doi:10.1177/0272989x98018002s09 · Cited by 1,103
Costs, effects and C/E‐ratios alongside a clinical trial
van Hout, B. A., Al, M., Gordon, G. S., & Rutten, F. (1994) · Health Economics · doi:10.1002/hec.4730030505 · Cited by 963
How should cost data in pragmatic randomised trials be analysed?
Thompson, S. G. (2000) · BMJ · doi:10.1136/bmj.320.7243.1197 · Cited by 772
Multivariate Analysis: With Applications in Education and Psychology.
Duncan, G. T., & Timm, N. H. (1977) · Journal of the American Statistical Association · doi:10.2307/2286946 · Cited by 566
Hoch, J. S., Briggs, A. H., & Willan, A. R. (2002) · Health Economics · doi:10.1002/hec.678 · Cited by 535
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- Mullahy J, 1994, Valuing Health Care, 149
- 10.1002/hec.4730030505 · DOI
- Greene WH, 1993, Econometric Analysis, 486
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Manca, A., Hawkins, N., & Sculpher, M. J. (2005) · Health Economics · doi:10.1002/hec.944 · Cited by 1,024
Faria, R., Gomes, M., Epstein, D., & White, I. R. (2014) · PharmacoEconomics · doi:10.1007/s40273-014-0193-3 · Cited by 673
Early, Goal-Directed Therapy for Septic Shock — A Patient-Level Meta-Analysis
The PRISM Investigators (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1701380 · Cited by 600
Rodgers, H., Bosomworth, H. J., Krebs, H. I., van Wijck, F., Howel, D., Wilson, N., Aird, L., Alvarado, N., Andole, S. N., Cohen, D., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31055-4 · Cited by 513
Riley, R. D., Abrams, K. R., Lambert, P. C., Sutton, A. J., & Thompson, J. R. (2006) · Statistics in Medicine · doi:10.1002/sim.2524 · Cited by 195
Metadata
- Authors
- Willan, A. R., Briggs, A. H., & Hoch, J. S.
- Affiliations
- University of Toronto (CA)
- University of Oxford (GB)
- Western University (CA)
- Corresponding author
- Willan, Andrew R.
- Venue
- Health Economics
- Publisher
- Wiley
- Published
- 2003-12-15
- Volume
- 13
- Issue
- 5
- Pages
- 461-475
- ISSN
- 1057-9230 (ISSN-L)
- 1099-1050
- OpenAlex
- W2069086045
- Cited by
- 364
- References
- 33
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 28 · 2023: 20 · 2022: 25 · 2021: 33 · 2020: 44 · 2019: 18 · 2018: 26 · 2017: 24 · 2016: 13 · 2015: 14 · 2014: 14 · 2013: 11 · 2012: 10
- FWCI
- 15.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Economics (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- 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 in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- cost-effectiveness analysis, covariate adjustment, subgroup analysis, seemingly unrelated regression, individual patient data, incremental cost-effectiveness, incremental net benefit, prognostic factors
- MeSH terms
- Adult, Canada, Cost-Benefit Analysis, Humans, Middle Aged, Regression Analysis, Models, Statistical, Randomized Controlled Trials as Topic
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