Comparison of treatment regimes with adjustment for auxiliary variables

DOI10.1080/02664763.2011.573541OpenAlexW1995185706WikidataQ57446495 ScholiaQ57446495MaRDI QIDQ5124970

Xinyu Tang, Abdus S. Wahed

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.573541

zbMATH Keywords

time-dependent covariatesauxiliary variableshigh-risk neuroblastoma studysequentially randomized designtreatment regime

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

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Cites Work

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• Modeling survival data: extending the Cox model
• Estimation of Survival Distributions of Treatment Policies in Two-Stage Randomization Designs in Clinical Trials
• Optimal Estimator for the Survival Distribution and Related Quantities for Treatment Policies in Two‐Stage Randomization Designs in Clinical Trials
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Marginal Mean Models for Dynamic Regimes
• Selecting Therapeutic Strategies Based on Efficacy and Death in Multicourse Clinical Trials
• Optimal Dynamic Treatment Regimes
• Screening Experiments for Developing Dynamic Treatment Regimes
• A Weighted Risk Set Estimator for Survival Distributions in Two-Stage Randomization Designs with Censored Survival Data
• Cox Regression Methods for Two-Stage Randomization Designs
• Semiparametric efficient estimation of survival distributions in two-stage randomisation designs in clinical trials with censored data

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