Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?
<h4>Background</h4> <p>Missing outcomes can seriously impair the ability to make correct inferences from randomized controlled trials (RCTs). Complete case (CC) analysis is commonly used, but it reduces sample size and is perceived to lead to reduced statistical efficiency of esti...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2016
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