I have this problem nagging me and I would love some input!
I got this set of data with measurements made with two different manufacturing methods which I would like to compare with each other, and test for equivalence between the methods. My first thought was to conduct a regular TOST with proc ttest but I discarded that idea when i reviewed the data The data consists of 15 observations for each manufacturing method, and I cannot assume normality due to the distribution of the data. The data is continuous (not ordinal nor nominal).
My question: Is there anybody here that has experience with non-parametric equivalence testing? Preferably in SAS Base (or Enterprise Guide, Excel can work but I rather stay away from it).
I've made some googeling and found some results for a Wilcoxon-Mann-Whitney TOST but no real connection to SAS.
I really don't know if you can extend the methods to TOST but I would look at PROC NPAR1WAY for Hodges-Lehman estimates of location shift, and perhaps to PROC MULTTEST for bootstrap resampling of the t-test.