Evaluating marker-guided treatment selection strategies

DOI10.1111/biom.12179zbMath1299.62129OpenAlexW1527912572WikidataQ34422281 ScholiaQ34422281MaRDI QIDQ2927594

Junlong Li, Roland A. Matsouaka, Tianxi Cai

Publication date: 4 November 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4213325

zbMATH Keywords

subgroup analysispersonalized medicinecounterfactual outcomepredictive biomarkersbiomarker-analysis designperturbation-resampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Medical epidemiology (92C60)

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Cites Work

• Performance guarantees for individualized treatment rules
• Cube root asymptotics
• Bayesian inference for causal effects: The role of randomization
• Estimating subject-specific survival functions under the accelerated failure time model
• Evaluating Markers for Selecting a Patient's Treatment
• Semiparametric Box–Cox power transformation models for censored survival observations
• Statistics and Causal Inference
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• Assessing Treatment‐Selection Markers using a Potential Outcomes Framework
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• A Robust Method for Estimating Optimal Treatment Regimes
• Effectively Selecting a Target Population for a Future Comparative Study
• Patterns of treatment effects in subsets of patients in clinical trials

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