Comparing treatment policies with assistance from the structural nested mean model
From MaRDI portal
Publication:2805172
DOI10.1111/biom.12391zbMath1393.62082OpenAlexW1822827956WikidataQ38957369 ScholiaQ38957369MaRDI QIDQ2805172
David W. Oslin, Xi Lu, Kevin G. Lynch, Susan A. Murphy
Publication date: 10 May 2016
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc4789134
semiparametric modeldynamic treatment regimeadaptive interventionsequential multiple assignment randomized trial
Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
Cites Work
- Bayesian inference for causal effects: The role of randomization
- 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
- Inference and missing data
- Marginal Mean Models for Dynamic Regimes
- Selecting Therapeutic Strategies Based on Efficacy and Death in Multicourse Clinical Trials
- Optimal Dynamic Treatment Regimes
- Causal Inference with Generalized Structural Mean Models
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Correcting for non-compliance in randomized trials using structural nested mean models
- Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
- Semiparametric efficient estimation of survival distributions in two-stage randomisation designs in clinical trials with censored data
