Discussion of “On Bayesian Estimation of Marginal Structural Models”

Author:

Gustafson Paul1

Affiliation:

1. Department of Statistics; University of British Columbia; Vancouver, B.C., Canada V6T 1Z4

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Reference5 articles.

1. A new approach to causal inference in mortality studies with a sustained exposure period-Application to control of the healthy worker survivor effect;Robins;Mathematical Modelling,1986

2. Implementation of g-computation on a simulated data set: Demonstration of a causal inference technique;Snowden;American Journal of Epidemiology

3. Intervening on risk factors for coronary heart disease: An application of the parametric g-formula;Taubman;International Journal of Epidemiology,2009

4. Bayesian effect estimation accounting for adjustment uncertainty;Wang;Biometrics,2012

5. Model feedback in Bayesian propensity score estimation;Zigler;Biometrics,2013

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1. Bayesian causal inference: a critical review;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2023-03-27

2. Combining parametric and nonparametric models to estimate treatment effects in observational studies;Biometrics;2022-10-26

3. A Bayesian approach to the g-formula;Statistical Methods in Medical Research;2017-03-02

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