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SAS/STAT 922 User's Guide: The MIXED Procedure (Book Excerpt)

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4544 ✦ Chapter 56: <strong>The</strong> <strong>MIXED</strong> <strong>Procedure</strong><br />

DIVISOR=number<br />

specifies a value by which to divide all coefficients so that fractional coefficients can be entered<br />

as integer numerators.<br />

E<br />

GROUP coeffs<br />

requests that the L matrix coefficients be displayed. For ODS purposes, the name of this “L<br />

Matrix Coefficients” table is “Coef.”<br />

GRP coeffs<br />

sets up random-effect contrasts between different groups when a GROUP= variable appears in<br />

the RANDOM statement. By default, ESTIMATE statement coefficients on random effects<br />

are distributed equally across groups.<br />

LOWER<br />

LOWERTAILED<br />

requests that the p-value for the t test be based only on values less than the t statistic. A<br />

two-tailed test is the default. A lower-tailed confidence limit is also produced if you specify<br />

the CL option.<br />

SINGULAR=number<br />

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

statement.<br />

SUBJECT coeffs<br />

SUB coeffs<br />

sets up random-effect contrasts between different subjects when a SUBJECT= variable appears<br />

in the RANDOM statement. By default, ESTIMATE statement coefficients on random effects<br />

are distributed equally across subjects. For example, the ESTIMATE statement in the following<br />

code from Example 56.5 constructs the difference between the random slopes of the first two<br />

batches.<br />

UPPER<br />

proc mixed data=rc;<br />

class batch;<br />

model y = month / s;<br />

random int month / type=un sub=batch s;<br />

estimate 'slope b1 - slope b2' | month 1 / subject 1 -1;<br />

run;<br />

UPPERTAILED<br />

requests that the p-value for the t test be based only on values greater than the t statistic. A<br />

two-tailed test is the default. An upper-tailed confidence limit is also produced if you specify<br />

the CL option.

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