Sensitivity Analysis of Informatively Coarsened Data Using Pattern Mixture Models
Sensitivity Analysis of Informatively Coarsened Data Using Pattern Mixture Models
We use the framework of coarsened data to motivate performing sensitivity analysis in the presence of incomplete data. To perform the sensitivity analysis, we specify pattern-mixture models to allow departures from the assumption of coarsening at random, a generalization of missing at random and independent censoring. We apply the concept …