Statistical analysis is critical for interpreting epidemiological data accurately. Essential practices include:
Appropriate Models: Choosing the correct statistical models for the data and research questions. Confounding Adjustment: Adjusting for potential confounders to isolate the effect of the primary exposure. Sensitivity Analysis: Conducting sensitivity analyses to assess the robustness of findings under different assumptions. Multiple Testing: Correcting for multiple testing to avoid type I errors.
