I have 900 subjects undergoing up to 5 cycle attempts at getting pregnant of interest is best method to define if characteristics of the insemination (difficult , **bleep** characteristics, total motile count, etc,catheter type, bleeding, **bleep** characteristics before washing and insemination each cycle are related to achieving a live birth (censored) I am trying to decide if GEE is the best approach and if so what specifications for this binary censored outcome ? Is survival analysis better? one suggestion is to use a weighted poisson specification in genmod (GEE with poisson and weighted for number of inseminations however this is number of insemination only and doesn't take into consideration reduced fertility over number of cycles attempted this seems to be a population approach rather than an individual probability of success complicated because not every patient will continue some will drop out (frustrated) some will get pregnant so the group with first attempt is more fertile than those with 2 tries or 3 tries or 4 tries or 5 tries etc and of interest is factors influencing success with the technique adjusting for known fertility factors like age , months trying to conceive etc thoughts? we have SAS 9.4 for our University of Oklahoma Health Sciences Center thank you for guidance rwild
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