Ensuring robust confirmatory analyses involves several practices: 1. Pre-registration: Registering the study protocol and hypotheses before data collection to prevent p-hacking and bias. 2. Blinding: Implementing blinding techniques to reduce bias during data collection and analysis. 3. Replication: Conducting replication studies to confirm the findings in different populations or settings. 4. Sensitivity Analyses: Performing sensitivity analyses to test the robustness of the results under different conditions or assumptions.
