By Maura E. Stokes

In addition to delivering an invaluable dialogue of express info research concepts, this booklet exhibits the way to practice those equipment with the SAS method. The authors comprise functional examples from a vast diversity of functions to demonstrate using the FREQ, LOGISTIC, GENMOD, and CATMOD methods in quite a few analyses. in addition they talk about different tactics reminiscent of PHREG and NPAR1WAY.

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**Extra resources for Categorical Data Analysis Using the SAS System**

**Sample text**

These data comprise a set of two ¾ ¢ ¾ tables. 1. Center 1 1 Total 2 2 Total Respiratory Improvement Treatment Test Placebo Test Placebo Yes 29 14 43 37 24 61 No 16 31 47 8 21 29 Total 45 45 90 45 45 90 Investigators were interested in whether there were overall differences in rates of improvement; however, they were concerned that the patient populations at the two centers were sufficiently different that center needed to be accounted for in the analysis. One strategy for examining the association between two variables while adjusting for the effects of others is stratified analysis.

0498 To find the one-sided p-value, you sum the probabilities as small or smaller than those computed for the table observed, in the direction specified by the one-sided alternative. In this case, it would be those tables in which the Test treatment had the more favorable response, or Ô ¼ ¼ ¿¿ · ¼ ¼¼¿ · ¼ ¼¼¼½ ¼ ¼ ¿ To find the two-sided p-value, you sum all of the probabilities that are as small or smaller than that observed, or Ô ¼ ¼ ¿¿ · ¼ ¼¼¿ · ¼ ¼¼¼½ · ¼ ¼ ¼ ½¼ ½ Generally, you will be interested in the two-sided p-value.

The ALL option has the same action as specifying both the CHISQ and the MEASURES options (and the CMH option, discussed in Chapter 3. 5 Odds Ratio and Relative Risk 37 data respire; input treat $ outcome $ count; datalines; test yes 29 test no 16 placebo yes 14 placebo no 31 ; proc freq order=data; weight count; tables treat*outcome / all nocol nopct; run; For these data, É ¼ and ÉÈ between treatment and improvement. 15 . 0014 Continuity Adj. 16 displays the estimates of relative risk and the odds ratio (other measures of association produced by the ALL option are not displayed here).