The proportion of missing data should not be used to guide decisions on multiple imputation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Clinical Epidemiology"
DOI: 10.1016/j.jclinepi.2019.02.016
Abstract: Objectives Researchers are concerned whether multiple imputation (MI) or complete case analysis should be used when a large proportion of data are missing. We aimed to provide guidance for drawing conclusions from data with a… read more here.
Keywords: multiple imputation; proportion missing; guide; missing data ... See more keywords
Poor reporting quality and high proportion of missing data in economic evaluations alongside pragmatic trials: a cross-sectional survey
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-025-02519-z
Abstract: Lack of data integrity is a common problem in randomized clinical trials and is more serious in economic evaluations conducted alongside explanatory clinical trials. Despite pragmatic randomized controlled trials (pRCTs) becoming recognized as the best… read more here.
Keywords: economic evaluations; proportion missing; reporting quality; missing data ... See more keywords