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Publicly Available Published by De Gruyter March 3, 2010

Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part II: Proofs of Results

  • Liliana Orellana , Andrea Rotnitzky and James M. Robins
From the journal The International Journal of Biostatistics
https://doi.org/10.2202/1557-4679.1242
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In this companion article to "Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content" [Orellana, Rotnitzky and Robins (2010), IJB, Vol. 6, Iss. 2, Art. 7] we present (i) proofs of the claims in that paper, (ii) a proposal for the computation of a confidence set for the optimal index when this lies in a finite set, and (iii) an example to aid the interpretation of the positivity assumption.

Keywords: dynamic treatment regime; double-robust; inverse probability weighted; marginal structural model; optimal treatment regime; causality
Published Online: 2010-3-3

©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston

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From the journal
The International Journal of Biostatistics
The International Journal of Biostatistics
Volume 6 Issue 2
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Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part II: Proofs of Results
Optimal Dynamic Regimes: Presenting a Case for Predictive Inference
Selective Ignorability Assumptions in Causal Inference
Model Checking with Residuals for g-estimation of Optimal Dynamic Treatment Regimes
Accuracy of Conventional and Marginal Structural Cox Model Estimators: A Simulation Study
Comparing Approaches to Causal Inference for Longitudinal Data: Inverse Probability Weighting versus Propensity Scores
Impact of Outcome Model Misspecification on Regression and Doubly-Robust Inverse Probability Weighting to Estimate Causal Effect
Cutting Feedback in Bayesian Regression Adjustment for the Propensity Score
Bayesian Inference for Partially Identified Models
When to Start Treatment? A Systematic Approach to the Comparison of Dynamic Regimes Using Observational Data
Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model
Review
An Introduction to Causal Inference
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