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

Background: Practical estimation of patient risk is often complicated by predictor values being unobserved or missing. In this paper we study the calibration and application of models for patient risk prediction when both the past patient data to which the prediction models are fit contains such mis