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Causal Inference in R: A book!

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This is an interesting problem, and I bumped into [this paper](https://arxiv.org/abs/2111.04513) on [this twitter thread](https://twitter.com/alexpghayes/status/1505944287221063687)

:arrow_right: : DAGs

* mentioned in the target trials section * ~~in data prep section~~ * ~~in sensitivity analysis~~ * covered in depth via cloning in causal inference over time

:book: theory

Continuous exposure ideas: * Posted wait time the previous hour * Difference between the posted and actual wait time the previous hour * "Will we invest more in getting accurate...

:chart_with_upwards_trend: modeling
:book: theory
:dart: target trial

Here is a nice paper on conditioning on instruments: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3254160/ top line result: > The results indicate that effect estimates which are conditional on a perfect IV or near-IV may...

:chart_with_upwards_trend: modeling
:book: theory

:cowboy_hat_face: wrangling/eda

The recent update to gtsummary includes easy-to-add robust SEs, which may be a nice addition to what we show for bootstraps: http://www.danieldsjoberg.com/gtsummary/reference/custom_tidiers.html Also a tool for mice models

:chart_with_upwards_trend: modeling
:hole: missingness

The answers here are pretty good https://stats.stackexchange.com/questions/481110/propensity-score-matching-what-is-the-problem

:book: theory

:chart_with_upwards_trend: modeling
:pencil2: writing

:chart_with_upwards_trend: modeling
:pencil2: writing

:chart_with_upwards_trend: modeling
:pencil2: writing