SAS for mixed models: introduction and basic applications
Mixed model basics -- Design structure I : single random effect -- Mean comparisons for fixed effects -- Power, precision, and sample size I : basic concepts -- Design structure II : models and multiple random effects -- Random effects models -- Analysis of covariance -- Analysis of repeated measures data -- Best linear unbiased prediction (BLUP) and inference on random effects -- Random coefficient models -- Generalized linear mixed models for binomial data -- Generalized linear mixed models f…
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- Full title :SAS for mixed models : introduction and basic applications / Walter W. Stroup, George A. Milliken, Elizabeth A. Claassen, Russell D. Wolfinger.
Summary
Mixed model basics -- Design structure I : single random effect -- Mean comparisons for fixed effects -- Power, precision, and sample size I : basic concepts -- Design structure II : models and multiple random effects -- Random effects models -- Analysis of covariance -- Analysis of repeated measures data -- Best linear unbiased prediction (BLUP) and inference on random effects -- Random coefficient models -- Generalized linear mixed models for binomial data -- Generalized linear mixed models for count data -- Generalized linear mixed models for multilevel and repeated measures experiments -- Power, precision, and sample size II : general approaches -- Mixed model troubleshooting and diagnostics.
Read More ↓Edition Statements
- Publication Date:December 2018
Publication Statements
- Publisher(s):SAS Institute
- Place of Publication:Cary, N.C
- Language:eng
- Publication Date:December 2018
Notes
Literaturverzeichnis: Seite 577-583.
The Physical Object
- Description:xii, 594 pages : Illustrationen, Diagramme : 28 cm
Edition Identifiers
- ISBN:163526135X, 9781635261356
- oclc:on1258220599
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SAS for mixed models: introduction and basic applications
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