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Unformatted text preview: I OWA S TATE U NIVERSITY Department of Animal Science I OWA S TATE U NIVERSITY Department of Animal Science Use of Proc GLM to Analyze Experimental Data Animal Science 500 Lecture No. October , 2010 I OWA S TATE U NIVERSITY Department of Animal Science PROC GLM The GLM procedure uses the method of least squares to fit general linear models. Among the statistical methods available in PROC GLM are: Regression, Analysis of variance, Analysis of covariance, Multivariate analysis of variance (MANOVA), and partial correlation. SAS/STAT(R) 9.22 User's Guide I OWA S TATE U NIVERSITY Department of Animal Science PROC GLM PROC GLM analyzes data within the framework of general linear models. PROC GLM handles models relating one or several continuous dependent variables to one or several independent variables. The independent variables can be either classification variables, which divide the observations into discrete groups, or continuous variables. Thus, the GLM procedure can be used for many different analyses, including the following: SAS/STAT(R) 9.22 User's Guide I OWA S TATE U NIVERSITY Department of Animal Science PROC GLM Thus, the GLM procedure can be used for many different analyses, including the following: simple regression multiple regression analysis of variance (ANOVA), especially for unbalanced data analysis of covariance response surface models weighted regression polynomial regression partial correlation multivariate analysis of variance (MANOVA) repeated measures analysis of variance SAS/STAT(R) 9.22 User's Guide I OWA S TATE U NIVERSITY Department of Animal Science PROC GLM PROC GLM enables you to specify any degree of interaction (crossed effects) and nested effects. It also provides for polynomial, continuousbyclass, and continuousnestingclass effects. Through the concept of estimability, the GLM procedure can provide tests of hypotheses for the effects of a linear model regardless of the number of missing cells or the extent of confounding. PROC GLM displays the sum of squares (SS) associated with each hypothesis tested and, upon request, the form of the estimable functions employed in the test. PROC GLM can produce the general form of all estimable functions. SAS/STAT(R) 9.22 User's Guide I OWA S TATE U NIVERSITY Department of Animal Science PROC GLM The REPEATED statement enables you to specify effects in the model that represent repeated measurements on the same experimental unit for the same response, providing both univariate and multivariate tests of hypotheses. The RANDOM statement enables you to specify random effects in the model; expected mean squares are produced for each Type I, Type II, Type III, Type IV, and contrast mean square used in the analysis. Upon request, tests that use appropriate mean squares or linear combinations of mean squares as error terms are performed....
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 Fall '09

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