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کاربردی از مدل های رگرسیون لجستیک ترتیبی دوسطحی در تعیین عوامل موثر بر بار اقتصادی بیماری دیابت نوع دو در ایران
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Maryam Hadipour *   , Razieh Jafaraghaiee , Ghassem Yadegarfar , Avat Feizi , Farid Abolhasani |
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Abstract: (16248 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. |
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| Keywords: multilevel ordinal logistic regression models, economic burden of diabetes type2, adaptive Gaussian quadrature method, Iran |
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Full-Text [PDF 5026 kb]
(4533 Downloads)
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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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