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Causal Inference in R: A book!

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Results 130 causal-inference-in-R issues

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13.03: Fitting the outcome model for continuous exposures

:chart_with_upwards_trend: modeling

:pencil2: writing

09.02: Weighting

Focused on the ATE

:chart_with_upwards_trend: modeling

:pencil2: writing

07.05: Presenting descriptive statistics

- [ ] #24

:pencil2: writing

:cowboy_hat_face: wrangling/eda

Evaluating how clear the questions being investigated in randomised trials are: systematic review of estimands

https://www.bmj.com/content/378/bmj-2022-070146

:book: theory

:dart: target trial

07.02: Recognizing missing data

- [ ] https://github.com/njtierney/tidy-missing-data-paper - [ ] https://twitter.com/MaartenvSmeden/status/1573294743445962752

:hole: missingness

:pencil2: writing

:cowboy_hat_face: wrangling/eda

Simulated malaria data with sickle cell

An expansion of the net data for mediation. Would need to expand the simulation

:bar_chart: data

19.01: Quantitative bias analyses

QBA: - [ ] https://www.amazon.com/gp/product/3030826724/ref=ox_sc_saved_image_2?smid=ATVPDKIKX0DER&psc=1 Misclassification/measurement error: - [ ] https://journals.sagepub.com/doi/10.1177/0962280220960172 - [ ] https://osf.io/gczhs/ Worth mentioning ROBINS/ROBINS-E? https://www.riskofbias.info/welcome/robins-e-tool

:balance_scale: sensitivity analysis

:pencil2: writing

07.03: Working with multiple data sources

:pencil2: writing

:cowboy_hat_face: wrangling/eda

12.03: Estimating uncertainty

- [ ] #22

:chart_with_upwards_trend: modeling

:pencil2: writing

12.02: Using weights in outcome models

:chart_with_upwards_trend: modeling

:pencil2: writing

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Causal Inference in R: A book!

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Causal Inference in R: A book!