Oops, someone pointed out off-list that I had it backwards below. I meant to say:
RR - 1 = .873 - 1 = -.127 = -12.7%
I hope this did not cause undue anguish for anyone. ;-)
Bruce Weaver wrote
Ryan did not say RR = -12.7. He said:
% change in risk = (RR - 1)*100=[(41.9/48.0) - 1]*100 = -12.7
RR = 41.9%/48.0% = 0.873
1 - RR = 1 - .873 = -.127 = -12.7%
Re the GENLIN syntax I gave (see below), the coefficient for Group gives the risk difference (with SE and CI). Tony pointed out that one can get the same thing from the Somer's d table generated by CROSSTABS. But as he said, and my example showed, you have to know which of the 3 results you want. That's one reason why I prefer the GENLIN approach. (Another reason is that you can add other explanatory variables.)
GENLIN Recid BY Group
/MODEL Group INTERCEPT=YES
DISTRIBUTION=NORMAL LINK=IDENTITY
/CRITERIA SCALE=MLE COVB=ROBUST PCONVERGE=1E-006(ABSOLUTE) SINGULAR=1E-012
ANALYSISTYPE=3(LR)
CILEVEL=95 CITYPE=WALD LIKELIHOOD=FULL
/MISSING CLASSMISSING=EXCLUDE
/PRINT CPS DESCRIPTIVES MODELINFO FIT SUMMARY SOLUTION.
HTH.
DKUKEC wrote
Thank you all for your contributions.
Ryan, with respect to RR=-12.7; how would I report this. Would I report that the treatment group reduced the risk of recidivism by 12.7% when compared to the control group?
Bruce/Tony, I am still unsure how GLM and Crosstab (Somer's d) computes the difference in proportions... what does the output mean in both examples and how does it compute the difference?
I apologize in advance for my ignorance and thank you all for your imput.
Sincerely,
Damir
--
Bruce Weaver
bweaver@lakeheadu.ca
http://sites.google.com/a/lakeheadu.ca/bweaver/"When all else fails, RTFM."
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