causal-inference-in-R

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17.02: Pooled logistic regression

2

malcolmbarrett

malcolmbarrett

It seems to be a big issue. We should investigate this further

malcolmbarrett

Additional topics in calculating propensity scores

1

I'm not quite sure where these should go yet, but I'm going to link them to the ~~calculating scores~~ estimands chapter - [ ] Show examples of ATO under different...

malcolmbarrett

Think about collapsibility of the odds ratio

1

hmmm @malcolmbarrett this is reminding me of simulations I ran in my doctorate program, but looks like collapsibility is not fixed by IPW and in fact is worse? ``` library(tidyverse)...

LucyMcGowan

- [ ] counterfactual vs potential outcome. Predictamands are POs because hasn't happened yet - [ ] https://www.youtube.com/watch?v=2HO9KxLY2IY

malcolmbarrett

Bayesian propensity scores

1

We could put this in a reference or notebox or something https://www.andrewheiss.com/blog/2021/12/18/bayesian-propensity-scores-weights/ https://github.com/ajnafa/IPWBayes

malcolmbarrett

Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms

5

https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwab201/6322279 (code: https://github.com/amishler/nonparametricDoublyRobust) related: https://github.com/yqzhong7/AIPW

malcolmbarrett

We're not satisfied with the way we usually address these questions

malcolmbarrett

- [ ] #43

malcolmbarrett