TY - JOUR T1 - Comparing Marginal and Transition Models In The Analysis of Binary Longitudinal Data: a Simulation Study TT - مقایسه مدل ‌ها‌ی حاشیه ‌ای و انتقال برای تحلیل پاسخ ‌های دو حالتی: یک مطالعه شبیه ‌سازی JF - sjimu JO - sjimu VL - 20 IS - 4 UR - http://sjimu.medilam.ac.ir/article-1-895-en.html Y1 - 2013 SP - 161 EP - 167 KW - binary data KW - markov correlation KW - marginal model KW - transition model KW - roc area under curve N2 - 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. M3 ER -