کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
466686 697867 2012 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A warning concerning the estimation of multinomial logistic models with correlated responses in SAS
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
A warning concerning the estimation of multinomial logistic models with correlated responses in SAS
چکیده انگلیسی

Kuss and McLerran [1] in a paper in this journal provide SAS code for the estimation of multinomial logistic models for correlated data. Their motivation derived from two papers that recommended to estimate such models using a Poisson likelihood, which is according to Kuss and McLerran “statistically correct but computationally inefficient”. Kuss and McLerran propose several estimating methods. Some of these are based on the fact that the multinomial model is a multivariate binary model. Subsequently a procedure proposed by Wright [5] is exploited to fit the models. In this paper we will show that the new computation methods, based on the approach by Wright, are statistically incorrect because they do not take into account that for multinomial data a multivariate link function is needed. An alternative estimation strategy is proposed using the clustered bootstrap.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 107, Issue 2, August 2012, Pages 341–346
نویسندگان
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