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:: Volume 20, Issue 4 (2-2013) ::
Journal of Ilam University of Medical Sciences 2013, 20(4): 161-167 Back to browse issues page
Comparing Marginal and Transition Models In The Analysis of Binary Longitudinal Data: a Simulation Study
F Zayeri, S Shahsavari, Ar Baghestani, S Jambarsang *1, V Lohrabian
1- , s.jambarsang@sbmu.ac.ir
Abstract:   (10380 Views)
Introduction: Longitudinal studies widely used in many branches of science, especial-lly medical science. In the past two deca-des, many models have been proposed for the evaluation of such data. These models are also developed to investigate various re-sponse variables such that categorical varia-bles that have many applications in medical research. While many papers have comp-ared the marginal and random effects mo-dels but fewer studies have compared the marginal and transition models. Materials & Methods: This paper used simulation with different scenarios for corr-elation, sample size and repeated measures and calculated ROC Curve for two models. Then estimated AUC for them and comp-arison was performed. Findings: If intensity transition for healthy to disease was large and patient remained disease for a long time that is better used transition model to prediction. In addition, in conditions that intensity transition in any status was equal or trends of transition inte-nsity was inverse of position1 that healthy people remained health for a long time and patients recovered quickly, that is better used marginal model. Discussion & Conclusion: In analysis of longitudinal data for achieving more accur-ate results when purpose of study was pred-iction, that is better intensity transition bet-ween status was considered and then dec-ided which model is choosen.
Keywords: binary data, markov correlation, marginal model, transition model, roc area under curve
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Type of Study: Research | Subject: biostatistics
Received: 2013/03/3 | Accepted: 2013/03/17 | Published: 2013/03/17
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zayeri F, shahsavari S, baghestani A, jambarsang S, lohrabian V. Comparing Marginal and Transition Models In The Analysis of Binary Longitudinal Data: a Simulation Study. Journal title 2013; 20 (4) :161-167
URL: http://sjimu.medilam.ac.ir/article-1-895-en.html

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Volume 20, Issue 4 (2-2013) Back to browse issues page
مجله دانشگاه علوم پزشکی ایلام Journal of Ilam University of Medical Sciences
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