A two-stage meta-analysis with parametric or machine-learning first-stage models produces 95% prediction intervals for conditional average treatment effects in a target patient population.
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Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
A two-stage meta-analysis with parametric or machine-learning first-stage models produces 95% prediction intervals for conditional average treatment effects in a target patient population.