|The MULTTEST Procedure|
The TEST statement is required unless the INPVALUES= option is specified. The TEST statement identifies statistical tests to be performed and the discrete and continuous variables to be tested. The following tests are permitted as name in the TEST statement.
requests the Cochran-Armitage linear trend tests for group comparisons. The test variables should take the value 0 for a failure and 1 for a success. PERMUTATION= option can be used to request an exact permutation test; otherwise, a -score approximation is used. The CONTINUITY= option can be used to specify a continuity correction for the -score approximation.
requests the Peto mortality-prevalence test. The test variables should take the value 0 for a nonoccurrence, 1 for an incidental occurrence, and 2 for a fatal occurrence. The TIME= option should be used with the Peto test to specify an integer-valued variable giving the age at death. The CONTINUITY= option can be used to specify a continuity correction for the test.
If the value of a TEST variable is invalid, the observation is not used in the analysis. You can specify two tests only if one of them is MEAN. For example, the following statement is valid:
test ca(d1-d2) mean(c1-c2);
But specifying both CA and FT, as shown in the following statement, is invalid:
test ca(d1-d2) ft(d1-d2);
You can specify the following options in the TEST statement (some apply to only one test).
computes p-values for the CA and Peto tests by using exact permutation distributions when marginal success or failure totals within a stratum are number or less. You can specify number as a nonnegative integer. For totals greater than number (or when the PERMUTATION= option is omitted), PROC MULTTEST uses standard normal approximations with a continuity correction chosen to approximate the permutation distribution. PROC MULTTEST computes the appropriate convolution distributions when you use the STRATA statement along with the PERMUTATION= option.
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