The MIXED Procedure
LSMESTIMATE Statement
LSMESTIMATE model-effect <'label'> values <divisor=n> <, …<'label'> values <divisor=n>></ options>;
The LSMESTIMATE statement provides a mechanism for obtaining custom hypothesis tests among least squares means.
Table 79.7 summarizes the options available in the LSMESTIMATE statement.
Table 79.7: LSMESTIMATE Statement Options
Option | Description |
|---|---|
Construction and Computation of LS-Means | |
Modifies covariate values in computing LS-means | |
Computes separate margins | |
Specifies a list of values to divide the coefficients | |
Specifies the weighting scheme for LS-means computation as determined by a data set | |
Tunes estimability checking | |
Degrees of Freedom and p-values | |
Determines the method for multiple-comparison adjustment of LS-means differences | |
Performs one-sided, lower-tailed inference | |
Adjusts multiple-comparison p-values further in a step-down fashion | |
Specifies values under the null hypothesis for tests | |
Performs one-sided, upper-tailed inference | |
Statistical Output | |
Constructs confidence limits for means and mean differences | |
Displays the correlation matrix of LS-means | |
Displays the covariance matrix of LS-means | |
Produces a joint F or chi-square test for the LS-means and LS-means differences | |
Requests graphs of means and mean comparisons | |
Specifies the seed for computations that depend on random numbers | |
Generalized Linear Modeling | |
Specifies how to construct estimable functions with multinomial data | |
Exponentiates and displays LS-means estimates | |
Computes and displays estimates and standard errors of LS-means (but not differences) on the inverse linked scale | |
For details about the syntax of the LSMESTIMATE statement, see the section LSMESTIMATE Statement in Chapter 19: Shared Concepts and Topics.