Rigor in Analyzing Subgroups in Clinical Trials

The chapter emphasizes the importance of rigor in thinking about subgroups in clinical trials, focusing on how populations are divided based on various factors and the impact on therapy being tested. It discusses the challenges in interpreting subgroup data, historical examples of misleading analyses, and proposes a global interaction test to address multiple testing issues. The speakers stress the significance of including all variables in statistical models to accurately interpret results and highlight the power gained from treating continuous variables as continuous in studies.