The PHREG 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 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

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= $\alpha $

Determines the confidence level ($1-\alpha $)

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 $\mb{L}$ matrix

ELSM

Prints the $\mb{K}$ matrix

JOINT

Produces a joint F or chi-square test for the LS-means and LS-means differences

PLOTS=

Requests graphs of means and mean comparisons

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 Chapter 19: Shared Concepts and Topics.