Handling missing data in modelling quality of clinician-prescribed routine care: sensitivity analysis of departure from missing at random assumption
Missing information is a major drawback in analyzing data collected in many routine health care settings. Multiple imputation assuming a missing at random mechanism is a popular method to handle missing data. The missing at random assumption cannot be confirmed from the observed data alone, hence th...
| Hoofdauteurs: | , , , , , |
|---|---|
| Formaat: | Journal article |
| Taal: | English |
| Gepubliceerd in: |
SAGE Publications
2020
|