How Do Biostatisticians Handle Missing Data in Cancer Research?
Missing data is a common issue in cancer research, and biostatisticians use several methods to address it:
Imputation: Filling in missing data with estimated values based on other available data. Sensitivity Analysis: Assessing how the results change when different methods are used to handle missing data. Multiple Imputation: Creating several complete datasets by imputing missing values multiple times and combining the results.
