TEST Statement
- TEST name ( variables < / options >) ;
The TEST statement is required. It 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.
CA | 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.
The PERMUTATION= option can be used to request
an exact permutation test; otherwise,
a Z-score approximation is used. The CONTINUITY=
option can be used to specify a continuity correction
for the Z-score approximation. |
FISHER | requests Fisher exact tests for comparing two
treatment groups. The test variables should take the
value 0 for a failure and 1 for a success. |
FT | requests Z-score CA tests based upon the Freeman-Tukey
double arcsine transformation of the frequencies. The test
variables should take the value 0 for a failure and 1 for a
success. |
MEAN | requests the t-test for the mean. The test variables
can take on any numeric values. |
PETO | requests the Peto mortality-prevalence test.
The test variables should
take the value 0 for a failure, 1 for a success,
and 2 for a fatality.
The TIME= option should be used with the PETO
test to specify a 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 the statement
test ca(d1-d2) ft(d1-d2);
is invalid.
You can specify the following options in the TEST statement (some
apply to only one test).
- BINOMIAL
-
specifies that the binomial variance estimate be used for CA and
PETO tests in their asymptotic normal approximations. The default
is to use the hypergeometric variance.
- CONTINUITY= number
- C= number
-
specifies number as a particular continuity correction for the
Z-score approximation in the CA and PETO tests. The
default is 0.
- LOWERTAILED
- LOWER
-
is used to make all tests lower-tailed. All tests are
two-tailed by default.
- PERMUTATION= number
- PERM= number
-
specifies that p-values for the CA and PETO tests be computed
using exact permutation distributions when marginal success or
failure totals within a stratum are number or less. For
values 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.
- TIME= variable
-
identifies the PETO test variable containing the age at death, which
is assumed to be integer valued. If the TIME= option is omitted,
all ages are assumed to equal 1.
- UPPERTAILED
- UPPER
-
is used to make all tests upper-tailed. All tests are two-tailed by
default.
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.