Hi @ballardw ,   Thank you for looking into that.  As have mentioned in my above response, the study is part of CAMIS project, where we look into differences between statistical methods in software.    Thank you for mentioning the rounding! We can see that as well that it is a case for many "not matching" results. I've ruled that out already as that is a difference between 0.0093 vs . 0.009535.    That is 240 observations dataset, no ties, no "0" differences.  In this case SAS should apply the non-exact method as an only option (if I understood the specification correctly).   Do you know what distribution is used for the test statistic? Is it with or without continuity correction?   I am happy to share more details, dataset and the matching calculations in R and StatXact. However enough and much appreciated support from the SAS Community would be sharing the details of the function calculating the p value.   Thanks for your help again. It is so nice to see people getting involved in studies like that! ... View more

Hi @Rick_SAS ,   Massive thanks for coming back to us. We really appreciate you lookin into that and referring us to the articles. This study is part of the CAMIS project (https://psiaims.github.io/CAMIS/). We compare statistical methods across software and describe similarities/differences and reasons for them.   With Wilcoxon signed-rank test, I am aware of the difference in the test statistic ( S - Signed Rank) vs. a common T+., and that is actually an equivalent. Nevertheless I struggle replicating the SAS calculations of p value (0.0093 in SAS, versus 0.0095 in StatXact or R).  The considered dataset has 240 observations (so >20), no ties and no "0" differences.   Could you please specify what method is used in SAS to calculate the p value?     ... View more