PROC MIXED MODEL Statement Options
Enter SAS PROC MIXED MODEL statement options in this field to override default parameters.
The MODEL statement names a single dependent variable and the fixed effects, which determine the X matrix of the mixed model.
You can specify any PROC MIXED MODEL option using the following syntax:
dependent = <fixed-effects></options>
where:
| • | dependent is a single dependent variable, |
| • | <fixed-effects> consists of a variable or combination of variables that have a fixed number of levels. Refer to Specification of Effects for instructions on specifying effects. |
| • | </options> specify model building parameters, tolerances, and statistical computations and output. |
Examples of commonly used PROC MIXED MODEL options are listed in the following table:
|
Option |
Definition |
|
ALPHA=number |
This option requests that a t-type confidence interval be constructed for each of the fixed-effects parameters with confidence level 1-number. The value of number must be between 0 and 1; the default is 0.05. |
|
CHISQ |
This option requests chi-square tests be performed for all specified effects in addition to the F tests. Type 3 tests are the default; you can produce the Type 1 and Type 2 tests by using the HTYPE= option. |
|
CL |
This option requests that t-type confidence limits be constructed for each of the fixed-effects parameter estimates. The confidence level is 0.95 by default; this can be changed with the ALPHA= option. |
|
ZETA= |
This option tunes the sensitivity in forming Type 3 functions. Any element in the estimable function basis with an absolute value less than number is set to 0. The default is 1E-8. |
To Specify One or More PROC MIXED MODEL Statement Options:
| 8 | Type specific PROC MIXED MODEL options in the PROC MIXED MODEL Statement Options field. |
For example, to produce the approximate correlation matrix of the fixed-effects parameter estimates for the dependent variable Disease as affected by gender, type Disease=Sex/CORRB, as shown below:
For Additional Information
Refer to the SAS PROC MIXED MODEL Statement documentation for more information.