TY - JOUR
T1 - Research participant compensation
T2 - A matter of statistical inference as well as ethics
AU - Swanson, David M.
AU - Betensky, Rebecca A.
N1 - Publisher Copyright:
© 2015 Elsevier Inc.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - The ethics of compensation of research subjects for participation in clinical 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.
AB - The ethics of compensation of research subjects for participation in clinical 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.
KW - Bias
KW - Dependent censoring
KW - Ethics
KW - Participant compensation
KW - Sensitivity analysis
KW - Survival analysis
UR - http://www.scopus.com/inward/record.url?scp=84946576087&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946576087&partnerID=8YFLogxK
U2 - 10.1016/j.cct.2015.08.014
DO - 10.1016/j.cct.2015.08.014
M3 - Article
C2 - 26334678
AN - SCOPUS:84946576087
SN - 1551-7144
VL - 45
SP - 265
EP - 269
JO - Contemporary Clinical Trials
JF - Contemporary Clinical Trials
ER -