Abstract
In recent years, multiple imputation has emerged as a convenient and flexible paradigm for analysing data with missing values. Essential features of multiple imputation are reviewed, with answers to frequently asked questions about using the method in practice.
Publication types
-
Research Support, U.S. Gov't, P.H.S.
-
Review
MeSH terms
-
Bayes Theorem
-
Data Interpretation, Statistical*
-
Databases, Factual / statistics & numerical data
-
Epidemiologic Methods
-
Health Services Research / statistics & numerical data
-
Models, Statistical
-
Monte Carlo Method*