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 73.9 summarizes the options available in the LSMESTIMATE statement. If the BAYES statement is specified, the ADJUST=, STEPDOWN, TESTVALUE, LOWER, UPPER, and JOINT options are ignored. The PLOTS= option is not available for the maximum likelihood analysis. It is available only for the Bayesian analysis.
Table 73.9: 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 |
|
Determines the confidence level () |
|
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 |
|
Prints the matrix |
|
Prints the matrix |
|
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 |
For details about the syntax of the LSMESTIMATE statement, see the section LSMESTIMATE Statement in Chapter 19: Shared Concepts and Topics.