Title of article :
Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes
Author/Authors :
Zheng, Yanqiao School of Finance - Zhejiang University of Finance and Economics, China , Zhao, Xiaobing School of Data Sciences - Zhejiang University of Finance and Economics, China , Zhang, Xiaoqi School of Finance - Zhejiang University of Finance and Economics, China
Abstract :
Te Coxian phase-type models and the joint models of longitudinal and event time have been extensively used in the studies of
medical outcome data. Coxian phase-type models have the fnite-jump property while the joint models usually assume a continuous
variation. Te gap between continuity and discreteness makes the two models rarely used together. In this paper, a partition-based
approach is proposed to jointly model the charge accumulation process and the time to discharge. Te key construction of our
new approach is a set of partition cells with their boundaries determined by a family of diferential equations. Using the cells, our
new approach makes it possible to incorporate fnite jumps induced by a Coxian phase-type model into the charge accumulation
process, therefore taking advantage of both the Coxian phase-type models and joint models. As a beneft, a couple of measures
of the “cost” of staying in each medical stage (identifed with phases of a Coxian phase-type model) are derived, which cannot be
approached without considering the joint models and the Coxian phase-type models together. A two-step procedure is provided
to generate consistent estimation of model parameters, which is applied to a subsample drawn from a well-known medical cost
database.
Keywords :
Dynamic , Jumped , phase-type
Journal title :
Computational and Mathematical Methods in Medicine