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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 461-475 |
| Number of pages | 15 |
| Journal | Health Economics |
| Volume | 13 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2004 |
| Externally published | Yes |
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Keywords
- Clinical trials
- Cost-effectiveness analysis
- Covariate adjustment
- Regression
ASJC Scopus subject areas
- Nursing(all)
- Economics and Econometrics
- Health(social science)
- Health Professions(all)
Cite this
Regression methods for covariate adjustment and subgroup analysis for non-censored cost-effectiveness data. / Willan, Andrew R.; Briggs, Andrew H.; Hoch, Jeffrey S.
In: Health Economics, Vol. 13, No. 5, 05.2004, p. 461-475.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Regression methods for covariate adjustment and subgroup analysis for non-censored cost-effectiveness data
AU - Willan, Andrew R.
AU - Briggs, Andrew H.
AU - Hoch, Jeffrey S
PY - 2004/5
Y1 - 2004/5
N2 - 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.
AB - 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.
KW - Clinical trials
KW - Cost-effectiveness analysis
KW - Covariate adjustment
KW - Regression
UR - http://www.scopus.com/inward/record.url?scp=2442686638&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2442686638&partnerID=8YFLogxK
U2 - 10.1002/hec.843
DO - 10.1002/hec.843
M3 - Article
C2 - 15127426
AN - SCOPUS:2442686638
VL - 13
SP - 461
EP - 475
JO - Health Economics (United Kingdom)
JF - Health Economics (United Kingdom)
SN - 1057-9230
IS - 5
ER -