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 16.20 summarizes the options available in the LSMESTIMATE statement.
Table 16.20: LSMESTIMATE Statement Options
Option |
Description |
---|---|
Construction and Computation of LS-Means |
|
AT |
Modifies covariate values in computing LS-means |
BYLEVEL |
Computes separate margins |
DIVISOR= |
Specifies a list of values to divide the coefficients |
OM= |
Specifies the weighting scheme for LS-means computation as determined by a data set |
SINGULAR= |
Tunes estimability checking |
Degrees of Freedom and p-values |
|
ADJUST= |
Determines the method for multiple-comparison adjustment of LS-means differences |
ALPHA= |
Determines the confidence level () |
LOWER |
Performs one-sided, lower-tailed inference |
STEPDOWN |
Adjusts multiple-comparison p-values further in a step-down fashion |
TESTVALUE= |
Specifies values under the null hypothesis for tests |
UPPER |
Performs one-sided, upper-tailed inference |
Statistical Output |
|
CL |
Constructs confidence limits for means and mean differences |
CORR |
Displays the correlation matrix of LS-means |
COV |
Displays the covariance matrix of LS-means |
E |
Prints the matrix |
ELSM |
Prints the matrix |
JOINT |
Produces a joint F or chi-square test for the LS-means and LS-means differences |
SEED= |
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 SAS/STAT 13.2 User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT 13.2 User's Guide.