:: Volume 17, Issue 1 (9-2012) ::
Andishe 2012, 17(1): 29-43 Back to browse issues page
کاربردی از مدل های رگرسیون لجستیک ترتیبی دوسطحی در تعیین عوامل موثر بر بار اقتصادی بیماری دیابت نوع دو در ایران
Maryam Hadipour Mrs *, Razieh Jafaraghaiee Mrs, Ghassem Yadegarfar Ms, Avat Feizi Ms, Farid Abolhasani Ms
Abstract:   (14215 Views)
In recent years, multilevel regression models were intensely developed in many fields like medicine, psychology economic and the others. Such models are applicable for hierarchical data that micro levels are nested in macros. For modeling these data, when response is not normality distributed, we use generalized multilevel regression models. In this paper, at first, multilevel ordinal logistic regression models and some estimation methods are explained. So their applications are investigated in the effect of patient’s environment on economic burden of diabetes type 2.
Keywords: multilevel ordinal logistic regression models, economic burden of diabetes type2, adaptive Gaussian quadrature method, Iran
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Type of Study: Research | Subject: Special
Received: 2012/08/15 | Accepted: 2012/08/15 | Published: 2014/07/12

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Volume 17, Issue 1 (9-2012) Back to browse issues page