Data analysis in drug efficacy studies typically involves statistical methods to compare outcomes between the treatment and control groups. Techniques like intention-to-treat analysis and per-protocol analysis are commonly used. Advanced statistical models may also be employed to adjust for confounding factors and to explore subgroup effects.
