This paper extends my research applying statistical decision theory to treatment choice with sample data, using maximum regret to evaluate the performance of treatment rules. The specific new contribution is to study as-if optimization using estimates of illness probabilities in clinical choice...

This paper studies many-to-one matching markets, such as school choice. We propose an estimation approach that requires matching outcomes only but no submitted preferences information, to decompose students’ performance into peer quality, school effectiveness, and match effect, respectively....