most citedA reluctant additive model framework for interpretable nonlinear individualized treatment rules

2 citations · 2 across the 2 of their papers we have counts for

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stat.ME2026

NP-LEAP: Nonparametric Latent Exchangeability Prior for Model-Lean Borrowing from Historical Data

Ethan M. Alt, Miheer Dewaskar, Jacob M. Maronge +2

Bayesian dynamic borrowing (BDB) methods leverage historical data to reduce treatment effect uncertainty, yet existing approaches rely on parametric outcome models susceptible to m…

stat.ME2023★ 2 cited

A reluctant additive model framework for interpretable nonlinear individualized treatment rules

Jacob M. Maronge, Jared D. Huling, Guanhua Chen

Individualized treatment rules (ITRs) for treatment recommendation is an important topic for precision medicine as not all beneficial treatments work well for all individuals. Inte…