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http://dx.doi.org/10.5351/KJAS.2007.20.3.449

The Application of Multi-State Model to the Bipolar Disorder Study  

Kim, Yang-Jin (Institute of Statistics, Korea University)
Kang, Si-Hyun (Department of Psychiatry, University of Ulsan College, Asan Medical Center)
Kim, Chang-Yoon (Department of Psychiatry, University of Ulsan College, Asan Medical Center)
Publication Information
The Korean Journal of Applied Statistics / v.20, no.3, 2007 , pp. 449-458 More about this Journal
Abstract
Bipolar disorder, also known as manic-depressive illness, is a brain disorder that causes unusual shifts in person's mood, energy, and ability to function. Compared with manic episode, the depression episode causes more serious results such as restless, loss of interest or pleasure, or thoughts of death or suicide and the cure rate of depression episode is lower than that of manic episode. Furthermore, a long term use of antidepressants in bipolar patients may result in manic episode. Our interest is to investigate the effect of antidepressant on switch of moods of bipolar patients and to estimate the transition probabilities of switch between moods, depression and (hypo) manic. In this study, three approaches are applied in terms of multi state model. Parametric model is applied using left censoring data and nonparametric model is implemented under illness-death model with counting process. In order to estimate the effect of covariates, a multiplicative model is used. These all methods have similar results.
Keywords
Bipolar disorder; antidepressant; multi-state model; illness-death model; transition probability; counting process;
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