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The MIXED Procedure

Chapter 41. The MIXED Procedure Chapter Table of Contents OVERVIEW .. 2085. Basic Features .. 2086. Notation for the MIXED Model .. 2087. PROC MIXED Contrasted with Other SAS procedures .. 2088. GETTING STARTED .. 2089. Clustered Data Example .. 2089. SYNTAX .. 2096. PROC MIXED Statement .. 2098. BY Statement .. 2104. CLASS Statement .. 2105. CONTRAST Statement .. 2105. ESTIMATE Statement .. 2108. ID Statement .. 2110. LSMEANS Statement .. 2110. MAKE Statement .. 2115. MODEL Statement .. 2116. PARMS Statement .. 2122. PRIOR Statement .. 2125. RANDOM Statement .. 2129. repeated Statement .. 2133. WEIGHT Statement .. 2145. DETAILS .. 2145. MIXED Models Theory .. 2145. Parameterization of MIXED Models .. 2157. Default Output .. 2161. Changes in Output .. 2166. Computational Issues .. 2171. EXAMPLES .. 2175. Example Split-Plot Design .. 2175. Example repeated Measures .. 2180. Example Plotting the Likelihood .. 2192. Example Known G and R.

for repeated measurements on subjects, while the REPEATED statement in PROC GLM is used to specify various transformations with which to conduct the traditional univariate or multivariate tests. In repeated measures situations, the mixed model approach used in PROC MIXED is more flexible and more widely applicable than

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