Missing data is common in health research, but the way it’s handled can dramatically change study results. This episode explains the three missingness mechanisms (MCAR, MAR, MNAR), how multiple imputation works, and why sensitivity analysis is essential for producing reliable and transparent biostatistical conclusions.

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