A longitudinal diabetes study has intermittent missing hemoglobin A1c values because some patients miss clinic appointments but later return. Investigators use patients' prior A1c levels, medication use, age, and other observed variables to estimate several plausible values for each missing entry and then combine the results across completed datasets. Which method is being used?
- A)Multiple imputationGABARITO
- B)Bonferroni correction
- C)Block randomization
- D)Overmatching
- E)Listwise deletion
Explicação
Multiple imputation replaces each missing value with several plausible values generated from observed data, creating multiple completed datasets that are analyzed separately and then pooled. This preserves uncertainty better than filling in a single value and ... Ver explicação completa e trilha adaptativa →