Comparisons of software packages for generalized linear multilevel models

被引：40
|
作者：
Zhou, XH
Perkins, AJ
Hui, SL
机构：
[1] Indiana Univ, Sch Med, Div Biostat, Indianapolis, IN 46202 USA
[2] Indiana Univ, Regenstrief Inst Hlth Care, Ctr Aging Res, Indianapolis, IN 46202 USA
来源：
AMERICAN STATISTICIAN | 1999年 / 53卷 / 03期
关键词：
D O I：
10.2307/2686112
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We review five software packages that can fit a generalized linear mixed model for data with more than a two-level structure and a multiple number of independent variables. These five packages are MLn, MLwiN, SAS Proc Mixed (Glimmix Macro), HLM, and VARCL. We first discuss the features of each of the five packages. These features include data input and data management, statistical model capabilities, output, and user friendliness. We then compare their performance on several simulated datasets.
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页码：282 / 290
页数：9
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