Multiple Imputation to Handle Missing Values in Clinical Research
Pre-conference course on Multiple Imputation of Missing Data in Simple and More Complex Settings at the "Tagung der Fachgruppe Methoden & Evaluation der Deutschen Gesellschaft für Psychologie" in Kiel, Germany
Missing data occur in many types of studies and typically complicate the analysis. Multiple imputation, either using joint modelling or the more flexible fully conditional specification approach, are popular and work well in standard settings. In …
R package JointAI for analysis of incomplete data in the Bayesian framework.
R package for Joint Analysis and Imputation of incomplete data in R using the Bayesian framework