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SAS/STAT 9.2 User's Guide: The MIXED Procedure (Book Excerpt)

SAS/STAT 9.2 User's Guide: The MIXED Procedure (Book Excerpt)

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3922 ✦ Chapter 56: <strong>The</strong> <strong>MIXED</strong> <strong>Procedure</strong><br />

SINGULAR=number<br />

tunes the estimability checking as documented for the SINGULAR= option in the<br />

CONTRAST statement.<br />

SLICE= fixed-effect<br />

SLICE= (fixed-effects)<br />

specifies effects by which to partition interaction LSMEANS effects. This can produce what<br />

are known as tests of simple effects (Winer 1971). For example, suppose that A*B is significant,<br />

and you want to test the effect of A for each level of B. <strong>The</strong> appropriate LSMEANS<br />

statement is as follows:<br />

lsmeans A*B / slice=B;<br />

This code tests for the simple main effects of A for B, which are calculated by extracting the<br />

appropriate rows from the coefficient matrix for the A*B LS-means and by using them to form<br />

an F test. See the section “Inference and Test Statistics” for more information about this F<br />

test.<br />

<strong>The</strong> SLICE option produces a table titled “Tests of Effect Slices.” For ODS purposes, the<br />

table name is “Slices.”<br />

MODEL Statement<br />

MODEL dependent = < fixed-effects >< / options > ;<br />

<strong>The</strong> MODEL statement names a single dependent variable and the fixed effects, which determine the<br />

X matrix of the mixed model (see the section “Parameterization of Mixed Models” on page 3975<br />

for details). <strong>The</strong> specification of effects is the same as in the GLM procedure; however, unlike<br />

PROC GLM, you do not specify random effects in the MODEL statement. <strong>The</strong> MODEL statement<br />

is required.<br />

An intercept is included in the fixed-effects model by default. If no fixed effects are specified, only<br />

this intercept term is fit. <strong>The</strong> intercept can be removed by using the NOINT option.<br />

Table 56.6 summarizes options in the MODEL statement. <strong>The</strong>se are subsequently discussed in<br />

detail in alphabetical order.<br />

Table 56.6 Summary of Important MODEL Statement Options<br />

Option Description<br />

Model Building<br />

NOINT excludes fixed-effect intercept from model<br />

Statistical Computations<br />

ALPHA=˛ determines the confidence level (1 ˛) for fixed effects<br />

ALPHAP=˛ determines the confidence level (1 ˛) for predicted values<br />

CHISQ requests chi-square tests<br />

DDF= specifies denominator degrees of freedom (list)

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