Comparisons of Software Packages for Generalized Linear Multilevel Models |
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| Authors: | Xiao-Hua Zhou Anthony J Perkins Siu L Hui |
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| Institution: | 1. Division of Biostatistics , Indiana University School of Medicine , USA;2. Regenstrief Institute for Health Care , 1001 West Tenth Street, Sixth Floor, Indianapolis , IN , 46202-2859 , USA;3. Indiana University Center for Aging Research, Regenstrief Institute for Health Care , 1001 West Tenth Street, Sixth Floor, Indianapolis , IN , 46202-2859 , USA |
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| Abstract: | 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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| Keywords: | Classroom activities Introductory statistics Teaching materials for hypothesis testing |
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