Single Index Models

Wednesday, November 7, 2018 - 4:00pm - 4:30pm
Somnath Datta (University of Florida)
n this work we propose a novel method for individualized treatment selection when the treatment response is multivariate. For the K treatment (K greater than or equal to 2) scenario we compare quantities that are suitable indexes based on outcome variables for each treatment conditional on patient specific scores constructed from collected covariate measurements. Our method covers multiple treatments and outcome variables, and it can be applied for a broad set of models.
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