Speaker: Heidi Seibold

Predicting individual treatment effects

Predicting individual treatment effects

Treatments for complicated diseases often help some patients but not all and predicting the treatment effect of new patients is important in order to make sure every patient gets the best possible treatment. We propose model-based random forests as a method to detect similarities between patients with respect to their treatment effect and on this […]

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