TY - DATA T1 - Algorithms for imputing partially observed recurrent events with applications to multiple imputation in pattern mixture models PY - 2017/09/25 AU - Yongqiang Tang UR - https://tandf.figshare.com/articles/dataset/Algorithms_for_imputing_partially_observed_recurrent_events_with_applications_to_multiple_imputation_in_pattern_mixture_models/5439796 DO - 10.6084/m9.figshare.5439796.v1 L4 - https://ndownloader.figshare.com/files/9397819 L4 - https://ndownloader.figshare.com/files/9397822 L4 - https://ndownloader.figshare.com/files/9397825 L4 - https://ndownloader.figshare.com/files/9397828 L4 - https://ndownloader.figshare.com/files/9397831 L4 - https://ndownloader.figshare.com/files/9397834 L4 - https://ndownloader.figshare.com/files/9397837 L4 - https://ndownloader.figshare.com/files/9397840 L4 - https://ndownloader.figshare.com/files/9397843 L4 - https://ndownloader.figshare.com/files/9397846 L4 - https://ndownloader.figshare.com/files/9397849 L4 - https://ndownloader.figshare.com/files/9397852 L4 - https://ndownloader.figshare.com/files/9397855 L4 - https://ndownloader.figshare.com/files/9397858 L4 - https://ndownloader.figshare.com/files/9397861 L4 - https://ndownloader.figshare.com/files/9397864 KW - Mixed poisson process KW - negative binomial process KW - overdispersion KW - pattern mixture models KW - rejection sampling N2 - Five algorithms are described for imputing partially observed recurrent events modeled by a negative binomial process, or more generally by a mixed Poisson process when the mean function for the recurrent events is continuous over time. We also discuss how to perform the imputation when the mean function of the event process has jump discontinuities. The validity of these algorithms is assessed by simulations. These imputation algorithms are potentially very useful in the implementation of pattern mixture models, which have been popularly used as sensitivity analysis under the non-ignorability assumption in clinical trials. A chronic granulomatous disease trial is analyzed for illustrative purposes. ER -