LSMESTIMATE Statement

LSMESTIMATE model-effect <'label'> values <divisor=>
<, ...<'label'> values <divisor=>>
< / options>
;

The LSMESTIMATE statement provides a mechanism for obtaining custom hypothesis tests among least squares means.

Table 68.6 summarizes important options in the LSMESTIMATE statement.

Table 68.6 Important 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 or chi-square test for the LS-means and LS-means differences

PLOTS=

Requests ODS statistical graphics of means and mean comparisons

SEED=

Specifies the seed for computations that depend on random numbers

Generalized Linear Modeling

CATEGORY=

Specifies how to construct estimable functions with multinomial data

EXP

Exponentiates and displays LS-means estimates

ILINK

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 of Chapter 19, Shared Concepts and Topics.