國家衛生研究院 NHRI:Item 3990099045/12687
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 12145/12927 (94%)
Visitors : 853603      Online Users : 1061
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/12687


    Title: A partial likelihood-based two-dimensional multistate markov model with application to myocardial infarction and stroke recurrence
    Authors: Chen, CC;Lee, CP;Yan, YH;Cheng, TJ;Sen, PK
    Contributors: Institute of Population Health Sciences
    Abstract: Myocardial infarction (MI) and stroke are the most common acute life-threatening cardiovascular disease (CVD) events and are triggered by the rupture of lipid-rich plaques in the arterial wall during the progression of atherosclerosis. Thus, they share a common pathology and preventive interventions. However, the association between the recurrent events of MI and stroke among CVD patients as the disease progresses remains unclear. In this study, we propose a bivariate Markov model to describe the multistate of recurrent events of MI and stroke. A partial likelihood approach was adopted by using the Sarkar's absolutely continuous bivariate exponential distribution (ACBVE) separately for the transitions among different states. The parametric model estimates the hazard function at each state and thus takes more information than an alternative semiparametric approach. As an illustrative example, we analyzed recurrent events of MI and stroke in individuals from the Taiwan National Health Insurance Research Database. Comparisons with the nonparametric Aalen-Johansen estimator for each state showed that the parametric ACBVE explained the data well. The correlation coefficients between the first recurrent MI and stroke tended to increase as the state of disease status progresses. The proposed two-dimensional multistate Markov model may be employed to describe the progressive comorbidity of two associated diseases.
    Date: 2021-11
    Relation: Sankhya B. 2021 Nov;83(Suppl. 2):282-303.
    Link to: http://dx.doi.org/10.1007/s13571-019-00212-y
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85085106054
    Appears in Collections:[Chu-Chih Chen] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    SCP85085106054.pdf482KbAdobe PDF300View/Open


    All items in NHRI are protected by copyright, with all rights reserved.

    Related Items in TAIR

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback