Bias in retrospective analyses of biomarker effect using data from an outcome-adaptive randomized trial.
Lingyun JiLisa M McShaneMark KrailoRichard SpostoPublished in: Clinical trials (London, England) (2019)
This article demonstrates existence of bias when standard, naïve statistical methods are utilized to assess biomarker effects using data from a biomarker-stratified outcome-adaptive randomization trial, and hence that results from naïve analyses must be interpreted with great caution. These findings highlight that, in an era where data and specimens are increasingly being shared for biomarker studies, care must be taken to document and understand implications of the study design under which specimens or data have been obtained.