Hierarchical data analyses in different disciplines are reviewed to compare statistical applications of the Hierarchical linear Model (HLM) software and the SAS MIXED procedure. Similar features of the 2 programs are illustrated through use of the SAS MIXED procedure to confirm an HLM example. The SAS is a standard statistical package with a large group of users; discussions of the shared features in statistical computing may identify options to demystify existing methods for analyzing hierarchical data.
机构:
Nankai Univ, Sch Stat & Data Sci, LPMC, Tianjin 300071, Peoples R China
Nankai Univ, KLMDASR, Tianjin 300071, Peoples R ChinaNankai Univ, Sch Stat & Data Sci, LPMC, Tianjin 300071, Peoples R China
Liu, Wenhui
Li, Zhonghua
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Nankai Univ, Sch Stat & Data Sci, LPMC, Tianjin 300071, Peoples R China
Nankai Univ, KLMDASR, Tianjin 300071, Peoples R ChinaNankai Univ, Sch Stat & Data Sci, LPMC, Tianjin 300071, Peoples R China
Li, Zhonghua
Wang, Zhaojun
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Nankai Univ, Sch Stat & Data Sci, LPMC, Tianjin 300071, Peoples R China
Nankai Univ, KLMDASR, Tianjin 300071, Peoples R ChinaNankai Univ, Sch Stat & Data Sci, LPMC, Tianjin 300071, Peoples R China
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New Mexico State Univ, Dept Publ Hlth Sci, 1335 Int Mall,RM 102, Las Cruces, NM 88011 USANew Mexico State Univ, Dept Publ Hlth Sci, 1335 Int Mall,RM 102, Las Cruces, NM 88011 USA
Amatya, Anup
Bhaumik, Dulal K.
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Univ Illinois, Dept Psychiat, Div Epidemiol & Biostat, Chicago, IL 60612 USANew Mexico State Univ, Dept Publ Hlth Sci, 1335 Int Mall,RM 102, Las Cruces, NM 88011 USA