05-03-2017 03:18 PM
I have a health status scale measured at 2 different timepoints (baseline and 1 month) with 5 different response levels (0-4). I want to see if there is a statistically significant difference in within group change from baseline to the 1 month time point for each of these response levels. My questions are as follows:
1. Am I using the right code to accomplish this task?
2. If so, which statistics do I report to highlight if the difference is significant?
3. Finally, I think the procedure below gives an overall p-value and not a level-by-level p-value and statistics. How do I test a level by level difference between baseline and 1 month response? Like the difference between response level 0 between baseline and 1 month.
I am running the following proc freq code (analogous to paired t-test for continous variables):
proc freq data=health;
tables hs_BASELINE*hs_1_MONTH / agree norow nocol nopercent;
The result is as follows:
|Statistics for Table of hs_BASELINE by hs_1_MONTH|
|Test of Symmetry|
|Pr > S||<.0001|
|Statistic||Value||ASE||95% Confidence Limits|
|Effective Sample Size = 1577
Frequency Missing = 325
|WARNING: 17% of the data are missing.|