Abstract
In this chapter, we present the fully parametric estimation approach of G-computation, in both frequentist and Bayesian settings. The method is illustrated using an analysis of the Promotion of Breastfeeding Intervention Trial.
Keywords
- Posterior Predictive Distribution
- Hypothetical Population
- Marginal Structural Model
- Counterfactual Outcome
- Counterfactual Distribution
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Chakraborty, B., Moodie, E.E.M. (2013). G-computation: Parametric Estimation of Optimal DTRs. In: Statistical Methods for Dynamic Treatment Regimes. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7428-9_6
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DOI: https://doi.org/10.1007/978-1-4614-7428-9_6
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