Research participant compensation: A matter of statistical inference as well as ethics

被引:5
|
作者
Swanson, David M. [1 ]
Betensky, Rebecca A. [1 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
关键词
Survival analysis; Dependent censoring; Bias; Participant compensation; Ethics; Sensitivity analysis; CLINICAL-TRIALS; MISSING DATA;
D O I
10.1016/j.cct.2015.08.014
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The ethics of compensation of research subjects for participation imclinical trials has been debated for years. One ethical issue of concern is variation among subjects in the level of compensation for identical treatments. Surprisingly, the impact of variation on the statistical inferences made from trial results has not been examined. We seek to identify how variation in compensation may influence any existing dependent censoring in clinical trials, thereby also influencing inference about the survival curve, hazard ratio, or other measures of treatment efficacy. In simulation studies, we consider a model for how compensation structure may influence the censoring model. Under existing dependent censoring, we estimate survival curves under different compensation structures and observe how these structures induce variability in the estimates. We show through this model that if the compensation structure affects the censoring model and dependent censoring is present, then variation in that structure induces variation in the estimates and affects the accuracy of estimation and inference on treatment efficacy. From the perspectives of both ethics and statistical inference, standardization and transparency in the compensation of participants in clinical trials are warranted. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:265 / 269
页数:5
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