Dear,   I would like to determine a cutpoint for a diagnositic test. Similar to what is shown in the following document: https://www.pharmasug.org/proceedings/2016/SP/PharmaSUG-2016-SP11.pdf However, the difficulty in my situation is that I do have some missing data. Therefore, I proceeded in the following way: Performed multiple imputation using proc MI. Performed a logistic regression model for each of the imputed datasets and outputed the results using the outroc option in the model statement. Combined the results from using proc MIanalyze.  Used proc logistic with the options inest = (combined parameter estimates from proc mianalyze) and maxiter=0. These were the steps suggested by this thread (https://communities.sas.com/t5/Statistical-Procedures/How-to-obtain-an-average-ROC-curve-using-multiple-imuputation/td-p/540376) to obtain a single ROC curve.    My question is, how do I get standard errors around my cutpoints obtained from this ROC curve to correctly display the variance from the different imputed datasets? Or do I just assume that on average my cutpoint will be X from the single ROC curve? Could someone please provide some insight on how to correctly account for the variation from the different imputed datasets when calculating a cutpoint?   Thanks in advance, Zoë  ... View more