About this document
Handling Missing Data in Clinical Research by rubabh92 is a document available to read on EtoBox.
The article discusses the challenges posed by missing data in clinical research and various methods for handling it, including single and multiple imputation. Single imputation methods, while simple, are generally not recommended due to unrealistic assumptions, whereas multiple imputation offers a more robust approach by creating multiple datasets with substituted values. The appropriateness of multiple imputation depends on the mechanism of the missing data, particularly whether it is missing at random (MA
- Author
- rubabh92
- Language
- EN