Preserving data privacy when using multi-site data to estimate individualized treatment rules

DOI10.1002/sim.9318zbMATH Open1547.62195MaRDI QIDQ6628046

Coraline Danieli, Erica E. M. Moodie

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

data poolingprecision medicinedistributed regressiondynamic treatment regimesmulti-centre studies

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Doubly-robust dynamic treatment regimen estimation via weighted least squares
• Optimal individualized dosing strategies: A pharmacologic approach to developing dynamic treatment regimens for continuous-valued treatments
• Regret-Regression for Optimal Dynamic Treatment Regimes
• The role of the propensity score in estimating dose-response functions
• Meta‐CART: A tool to identify interactions between moderators in meta‐analysis
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• Using Pooled Exposure Assessment to Improve Efficiency in Case‐Control Studies
• A Robust Method for Estimating Optimal Treatment Regimes
• Reward ignorant modeling of dynamic treatment regimes
• Doubly Robust Estimation of Optimal Dosing Strategies
• Using simulation studies to evaluate statistical methods

Related Items (2)

Differentially private outcome-weighted learning for optimal dynamic treatment regime estimation ⋮ Privacy-preserving and homogeneity-pursuit integrative analysis for high-dimensional censored data

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