This episode explains the statistical methods used to analyze data from Phase 1 and 2 clinical trials. We discuss how researchers interpret initial signals from these early studies, focusing on safety and tolerability in Phase 1 and efficacy in Phase 2. The episode covers key concepts like statistical power, clinical significance, and the importance of control groups in assessing drug efficacy. Common statistical models, such as t-tests, ANOVA, and logistic regression, are introduced, along with techniques like survival analysis for time-to-event data. The episode also explores how researchers handle variability in patient responses and the importance of accounting for individual differences in the analysis.

Furthermore, the regulatory framework governing data analysis in clinical trials, including guidelines from the FDA and ICH, is discus ...