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
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
**Objectives:** To design a frailty index (FI) and evaluate three methods to handle missing data. Furthermore, we evaluated its construct (i.e., skewed distribution, correlation with age and sub-maximum score) and criterion validity (based on …