Python-for-Epidemiologists
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Replicate "Causal Inference"
Issue to track progress on implementation of Hernan and Robins "Causal Inference" chapters
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[x] Chapter 12: Inverse probability weights
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[x] Chapter 13: Parametric g-formula
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[x] Chapter 14: G-estimation of structural nested models
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[x] ~Chapter 16: G-estimation for IV analysis~
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[ ] Chapter 17: Causal survival analysis
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[ ] Part III: Time-varying treatments
~G-estimation is not currently implemented. I will need to implement these before chapter 14 can be done.~
Currently there are no plans to replicate Chapter 15 (propensity scores and regression) or Chapter 16 (instrumental variables) since the first method does not require zEpid and I am unfamiliar with the second. Maybe instrumental variables will be added in the future?
For Chapter 16, I am considering demonstrating the usage of g-estimation instead of two-stage least-squares. Specifically, using the same data as done in Chapter 16 but following Technical Point 16.3