Using effect scores to characterise heterogeneity of treatment effects

JAMA

9 April 2024 - It is common for treatments to yield different outcomes in different patients. If patient characteristics that predict treatment response can be identified, understanding this heterogeneity of treatment effect (HTE) should inform individual treatment choices.

Effect score analyses are an approach for evaluating HTE, using a model developed to predict treatment effect given a patient’s characteristics, and then examining differences in treatment effects across groups of patients with different effect scores.

Read JAMA Guide to Statistics and Methods

Michael Wonder

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Michael Wonder

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Medicine , Statistics