It is difficult to read your code to see if you have already done this, but you can set group attributes in the SGPLOT procedure syntax, as described here:   https://blogs.sas.com/content/graphicallyspeaking/2013/07/14/setting-graph-colors-is-easier-with-sas-9-4/   For future reference, it is helpful to post SAS code using the "Insert SAS Code" button at the top of the message body. ... View more

The type of correlation matrix affects the standard errors and significance tests, and is often referred to as a variance-covariance matrix.  With that in mind, we should expect that lsmeans would not be affected unless there is missing data, and even then, the effect should be minor.  This is because the R part of the V matrrix is what is modeled with the type= option, and it is separate from the X part (where the fixed effects reside).  At least that is how I think about it.   SteveDenham ... View more

That is correct. The CONTRAST and ESTIMATE statements provide tests and estimates of linear combinations of model parameters. In the case of a logistic model, such linear combinations are estimates of log odds. If you add the ILINK option, the ESTIMATE statement provides estimates of probabilities. But this does not extend to differences or other functions of probabilities which generally are nonlinear combinations of model parameters. To estimate or test such nonlinear combinations and marginal effects, you can use the Margins, NLEST, or NLMeans macros. Further discussion and an example of using these can be found in this note. The NLEST and NLMeans macros are immediately available for calling in the latest release of SAS (SAS 9.4 TS1M6). Otherwise, they (and the Margins macro) can be downloaded using the links provided in the note. ... View more

Yes, the RISKDIFF(COMMON) option provides confidence limits for the overall stratum-adjusted risk (proportion) difference. Also, the COMMONRISKDIFF option provides additional confidence limit types, tests, and stratum weights.  ... View more

Paper: https://www.lexjansen.com/sesug/2015/103_Final_PDF.pdf   Code: https://raw.githubusercontent.com/Jiangtang/Programming-SAS/master/CI_Single_Proportion.sas   @lcmichael_unc wrote: I need to report confidence intervals for proportions and proportion differences using the Wilson-score (also called Newcombe) method but I cannot use PROC FREQ because the proportions are output as predicted values from a logistic model. The algebraic algorithm could be incorporated into a data step but it's pretty messy - has anyone already created code to do this. Many thanks.   ... View more