Note that using DIST=NORMAL and LINK=LOG is not treating the response as lognormal, if that was your intention.  To do that, model the log-transformed variable in PROC REG or PROC GLM.  With these options in GENMOD, you are assuming that the response is normal and are modeling the log of the mean.  If your response is positive, then your gamma model may be the more appropriate model. ... View more

Choosing a cutpoint depends on what criterion you want to use.  The best tool for this is the CTABLE option in the MODEL statement. This option displays a table with statistics for each of a range of cutpoints such as the correct classification rate, false positive and negative rates, etc.  If you want, you can change the cutpoints used in the table with the PPROB= option.  For example, with this table you could find the cutpoint that maximizes the correct classification rate, or the cutpoint that satisfies your criteria for false positive and false negative rates.   There are other, follow on questions in this post.  This response answers the original poster's question. ... View more

A model on Y in GENMOD with LINK=LOG is not the same thing as a model on ln(Y) in REG. The former assumes Y is distributed as normal and models g(E(Y))=ln(E(Y)).  The latter assumes ln(Y) is distributed as normal (Y is lognormal) and models E(ln(Y)).  Generally, ln(E(Y)) is not the same as E(ln(Y)). ... View more

Model effect selection for generalized linear models is available beginning in the current release - SAS 9.4 TS1M0 - using PROC HPGENSELECT.  For count models, it can also be done using the SELECTVAR= option in PROC COUNTREG in SAS/ETS software.  See the documentation: http://support.sas.com/documentation/cdl/en/stathpug/66410/HTML/default/stathpug_hpgenselect_toc.htm http://support.sas.com/documentation/cdl/en/etsug/66100/HTML/default/etsug_countreg_toc.htm ... View more

This note deals generally with using different formats in results -- it uses the example of changing precision, but the general idea of saving the data with ODS OUTPUT and printing with the desired formats applies generally. http://support.sas.com/kb/37106 Note that if your weights are sampling weights, then only the procedures whose names start with SURVEY (such as SURVEYLOGISTIC) have the necessary variance estimators to provide a proper analysis.  The WEIGHT statement in PROC LOGISTIC is not appropriate for modeling survey data.  That being said, the OUTROC= option provides sensitivities and specificities.  You can use the ROCOPTIONS(WEIGHTED) option in the PROC LOGISTIC statement to have the weights multiply the counts as shown in the "Details: Receiver Operating Characteristic Curves: ROC Computations" section of the LOGISTIC documentation. ... View more