Thanks mkeintz, good question. After posting I thought about going about this problem another way and think it would also work using data steps and will try this weekend and post back: 1. For each minority group, rank their health status score from largest to smallest. This will ensure that there is an order associated with their continuous data point value ; 2. Sort the data file by minority status, rank, and the rank order of the persons health score ; 3. Create a new dataset that only has values for the white patients; 4. Join back to the original dataset based on rank + rank order of the health status score (e.g., minoity in rank 1 with highest health status score would then join to the white in rank 1 with the highest health status score, and so on) It's a bit lengthy, but conceptually I think this would work. It just involves a few steps and I'd prob have to repeat some of the values in the 'white' dataset if there are more minorities than whites. But to answer your question more specifically - yes, I would want to make sure that the highest value for the white person in rank 1 would be assigned to the minority person in rank 1, the next highest value for the white person in rank 1 assigned to the second highest value for the minority person in rank 1 and so on through the quartiles. Anyhow, let me try this and see how it goes. Appreciate your reply - nate
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