Article

Revisiting the High-Benefit Patient: Generic Machine Learning Inference for Intensive Blood Pressure Control

2026-06-29

Abstract excerpt

We applied the model-free GenericML framework using robust estimators (the Best Linear Predictor, Group Average Treatment Effects, and baseline profile classification) to reassess treatment effect heterogeneity (HTE) of intensive blood pressure (BP) using pooled data from two large-scale randomized control trials on BP controls. Among 10,712 participants with up to three years of follow-up, we estimated the differ...

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Literature Corpus work: 0c6159c0-368a-5b4c-a540-8104a4bb4d57
DOI: 10.64898/2026.06.26.26356708

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