MIANALYZE Procedure


You can now specify the PARMS= data set without specifying either the COVB= or XPXI= option when the data set contains the standard errors for the parameter estimates.

The DATA= option includes data sets that contain both parameter estimates and their associated standard errors in each observation of the data set.

The BCOV, WCOV, and TCOV options control the display of the betweenimputation, within-imputation, and total covariance matrices.

A TEST statement tests linear hypotheses about the parameters, H : L ² = c . For each TEST statement, the procedure combines the estimate and associated standard error for each linear component ( a row of L ² ). It can also combine the estimates and associated covariance matrix for all linear components .

The MODELEFFECTS statement lists the effects in the data set to be analyzed . Each effect is a variable or a combination of variables , and is specified with a special notation using variable names and operators. The STDERR statement lists the standard errors associated with the effects in the MODELEFFECTS statement when both parameter estimates and standard errors are saved as variables in the same DATA= data set.

The experimental CLASS statement specifies categorical variables. PROC MIANALYZE reads and combines parameter estimates and covariance matrices for parameters with CLASS variables.




SAS.STAT 9.1 Users Guide (Vol. 6)
SAS.STAT 9.1 Users Guide (Vol. 6)
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 127

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