Predictive averaging and Rubin’s rule-based model pooling to predict survival risk with imputations in the presence of missing patient data: methodology and verification using two case studies and simulations

This publication has 29 references indexed in Scilit:

• A systematic review of how missing data are handled and reported in multi‐database pharmacoepidemiologic studies
  Pharmacoepidemiology and Drug Safety, 2021
• Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross‐validation: Methodological approach and data‐based evaluation
  Biometrical Journal, 2020
• Clinical Prediction Models
  2019
• Multiple imputation in Cox regression when there are time‐varying effects of covariates
  Statistics in Medicine, 2018
• Dealing with missing covariates in epidemiologic studies: a comparison between multiple imputation and a full Bayesian approach
  Statistics in Medicine, 2016
• The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data
  Biometrical Journal, 2015
• Imputing missing covariate values for the Cox model
  Statistics in Medicine, 2009
• Multiple imputation of missing blood pressure covariates in survival analysis
  Statistics in Medicine, 1999
• Multiple Imputation for Nonresponse in Surveys
  1987
• Multivariate Observations
  1984