Cited by 364Health Systems, Economic Evaluations, Quality of LifeStatistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

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Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data

Willan, Andrew R., Briggs, Andrew H., Hoch, Jeffrey S.·2004·Health Economics

DOI 10.1002/hec.843

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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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Additional file 2 of An individually randomised controlled multi-centre pragmatic trial with embedded economic and process evaluations of early vocational rehabilitation compared with usual care for stroke survivors: study protocol for the RETurn to work After stroKE (RETAKE) trial
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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.
ORCID: Willan, Andrew R.
Briggs, Andrew H.
Hoch, Jeffrey S.
Venue: Health Economics
Publisher: Wiley
Published: 2003-12-15
Volume: 13
Issue: 5
Pages: 461-475
ISSN: 1057-9230 (ISSN-L)
1099-1050
DOI: 10.1002/hec.843
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
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
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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Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data

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