Specify
variables
from the
Input SAS Data Set
that contain continuous significance measures or numeric binary indicators created from continuous significance measures.
Common continuous measures to use are
t-statistics
, -log
10
(
p
-values), or
p-values
. The significance variables specified here should all be of the same kind (for example. all
t
-statistics or all -log
10
(
p
-values)). Basic characteristics or uses of each are as follows:
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•
|
T
-statistics are recommended for simultaneously testing both up- and down-regulation.
|
|
•
|
P
-value-based measures only screen for absolute significance.
|
|
•
|
-Log
10
(
p
-values) are preferred to
p
-values for Cochran-Armitage and PAGE tests because they have more compatible sampling
distributions
.
|
If binary indicators are specified here, you must specify a value in the
Significance Variable Cutoff for Fisher Exact Tests
field on the
Analysis
tab. For example, if you specify one or more binary indicators in which
0
represents non-significance and
1
represents significance, you must specify a value greater than
0
and less than
1
as your
Significance Variable Cutoff for Fisher Exact Tests
.
The
Available Variables
field is populated with variables from the specified data set.
|
Highlight a single variable, or hold down
while left-clicking on multiple variables, from the
Available Variables
field.
|
|
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Click
to add the selected variable(s) to the
Significance Variables
field.
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