Bivariate Distribution of Claiming Time and Medicare Reimbursement Based on Incomplete Data
Date Issued
2008
Date
2008
Author(s)
Huang, Tzu-Jung
Abstract
Although numerous attempts have been made on bivariate failure times, however,here is little attention on the study of relation between failure time(claiming time)nd mark variable(medicare reimbursement). Meanwhile, from the viewpoints ofrokers and the management in insurance company, it is more attractive and engrossingo capture the dynamic pattern so that our research interest would focus onhe joint distribution of claiming time and the corresponding medicare reimbursement.ased on survival censored data, we propose two estimation procedures:he inverse probability weighting (IPW) method and the imputation method. Furthermore,t is meaningful to accommodate terminal events occurring prior to theealization of failure time and the IPW method could lead to the resolution ofhis obstacle. Moreover, the limiting Gaussian processes of estimated distributionsnd the estimators of variance-covariance functions are developed and enable us toonstruct approximated regions. To investigate the finite sample properties of proposedstimators and the performance of inference procedures, a class of simulationsould be conducted. An application to the colorectal cancer data retrieved from the Surveillance, Epidemiology, and End Results (SEER) Medicare database is alsoresented. In the end, we provide a brief discussion and further research topics ofnterest.
Subjects
bivariate distribution
mark variable
medical cost
censoring
terminal events
inverse probability weighting (IPW)
imputation
U-statistics
Gaussian processes
SDGs
Type
thesis
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