Discussion of “On Bayesian Estimation of Marginal Structural Models”
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[1] J. Robins,et al. Improved double-robust estimation in missing data and causal inference models. , 2012, Biometrika.
[2] M. J. Bayarri,et al. P Values for Composite Null Models , 2000 .
[3] M. Newton. Approximate Bayesian-inference With the Weighted Likelihood Bootstrap , 1994 .
[4] Samy Suissa,et al. The positivity assumption and marginal structural models: the example of warfarin use and risk of bleeding , 2012, European Journal of Epidemiology.
[5] Constantine E Frangakis,et al. Estimating Treatment Effects of Longitudinal Designs using Regression Models on Propensity Scores , 2010, Biometrics.
[6] Michal Abrahamowicz,et al. Comparison of Approaches to Weight Truncation for Marginal Structural Cox Models , 2013 .
[7] D. Horvitz,et al. A Generalization of Sampling Without Replacement from a Finite Universe , 1952 .
[8] James M. Robins,et al. Optimal Structural Nested Models for Optimal Sequential Decisions , 2004 .
[9] J. Robins. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect , 1986 .
[10] J. Robins,et al. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models , 1999 .
[11] Corwin M Zigler,et al. Model Feedback in Bayesian Propensity Score Estimation , 2013, Biometrics.
[12] J. Robins,et al. Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. , 2009, International journal of epidemiology.
[13] Tristan Zajonc,et al. Bayesian Inference for Dynamic Treatment Regimes: Mobility, Equity, and Efficiency in Student Tracking , 2010 .
[14] Lawrence C McCandless,et al. The International Journal of Biostatistics CAUSAL INFERENCE Cutting Feedback in Bayesian Regression Adjustment for the Propensity Score , 2011 .
[15] D. Rubin. For objective causal inference, design trumps analysis , 2008, 0811.1640.
[16] Debra T Silverman,et al. Systematic Reviews and Meta-and Pooled Analyses Nonsteroidal Antiinflammatory Drugs and Bladder Cancer : A Pooled Analysis , 2011 .
[17] Giovanni Parmigiani,et al. Bayesian Effect Estimation Accounting for Adjustment Uncertainty , 2012, Biometrics.
[18] D. Rubin. The Bayesian Bootstrap , 1981 .
[19] Stephen G. Walker. Bayesian Nonparametrics: Bayesian nonparametric methods: motivation and ideas , 2010 .
[20] Stephen R Cole,et al. Constructing inverse probability weights for marginal structural models. , 2008, American journal of epidemiology.
[21] Sherri Rose,et al. Implementation of G-computation on a simulated data set: demonstration of a causal inference technique. , 2011, American journal of epidemiology.
[22] S. Greenland. Causal Inference as a Prediction Problem: Assumptions, Identification and Evidence Synthesis , 2012 .
[23] James M. Robins,et al. Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts , 2000 .
[24] J. Robins,et al. Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models. , 1997, Statistics in medicine.
[25] Paul Gustafson,et al. Double-Robust Estimators: Slightly More Bayesian than Meets the Eye? , 2012, The international journal of biostatistics.