Incremental net benefit in randomized clinical trials with quality‐adjusted survival
- 8 January 2003
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 22 (3) , 353-362
- https://doi.org/10.1002/sim.1347
Abstract
Owing to induced dependent censoring, estimating mean costs and quality-adjusted survival in a cost-effectiveness comparison of two groups using standard life-table methods leads to biased results. In this paper we propose methods for estimating the difference in mean costs and the difference in mean effectiveness, together with their respective variances and covariance in the presence of dependent censoring. We consider the situation in which the measure of effectiveness is either the probability of surviving a duration of interest or mean quality-adjusted survival time over a duration of interest. The methods are illustrated in an example using an incremental net benefit analysis. Copyright © 2003 John Wiley & Sons, Ltd.Keywords
This publication has 36 references indexed in Scilit:
- Incremental net benefit in randomized clinical trialsStatistics in Medicine, 2001
- Estimating the Mean of an Increasing Stochastic Process at a Censored Stopping TimeJournal of the American Statistical Association, 2000
- Linear regression analysis of censored medical costsBiostatistics, 2000
- Power and Sample Size in Cost- Effectiveness AnalysisMedical Decision Making, 1999
- ECONOMIC EVALUATION OF DIAGNOSTIC TESTSInternational Journal of Technology Assessment in Health Care, 1999
- Confidence intervals for cost-effectiveness ratios: An application of Fieller's theoremHealth Economics, 1996
- Confidence intervals for cost/effectiveness ratiosHealth Economics, 1995
- Costs, effects and C/E‐ratios alongside a clinical trialHealth Economics, 1994
- In Search of Power and Significance: Issues in the Design and Analysis of Stochastic Cost-Effectiveness Studies in Health CareMedical Care, 1994
- On the (Near) Equivalence of Cost-Effectiveness and Cost-Benefit AnalysesInternational Journal of Technology Assessment in Health Care, 1991