what to do when models agree on multiple imputation what to do when complete cases vs imputed cases which model can use multiple imputation when a model is imputed and complete what to do when the parameters in multiple imputations disagree? what is the difference between a complete and an imputed model? what to do when complete cases and imputed cases and train vs test disagree difference between complete and imputed case if the parameters in the complete model agree with the tests and test, what should we do how to compare imputed case to full case why does a survival analysis model disagree with p values when do model parameters differ between complete or imputed cases what is the difference between a complete case and an imputed case? what to do when parameters disagrees what to do when data are incomplete what to do in a survival analysis case can you train with multiple imputation what to do when the model disagrees what happens when p values disagree with model when the model is running against the p value of some variables, which statement should be taken in the training or testing scenario?