From 11afe21aa01f2539eeda3165713b60539f402271 Mon Sep 17 00:00:00 2001 From: Harrison Curtis Date: Fri, 28 Mar 2025 14:16:32 +0000 Subject: [PATCH 1/6] Add link to causal_written_resources in the knowldge base --- docs/source/knowledgebase/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/knowledgebase/index.md b/docs/source/knowledgebase/index.md index aa65ade3..94a573c0 100644 --- a/docs/source/knowledgebase/index.md +++ b/docs/source/knowledgebase/index.md @@ -7,5 +7,5 @@ glossary design_notation quasi_dags.ipynb causal_video_resources - +causal_written_resources ::: From 9f9c695ac4f93aef951baaaa2adc45fd85bfd4a3 Mon Sep 17 00:00:00 2001 From: Harrison Curtis Date: Fri, 28 Mar 2025 14:18:13 +0000 Subject: [PATCH 2/6] Add markdown file for first outline for causal_written_resources --- .../knowledgebase/causal_written_resources.md | 21 +++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 docs/source/knowledgebase/causal_written_resources.md diff --git a/docs/source/knowledgebase/causal_written_resources.md b/docs/source/knowledgebase/causal_written_resources.md new file mode 100644 index 00000000..63d4ff56 --- /dev/null +++ b/docs/source/knowledgebase/causal_written_resources.md @@ -0,0 +1,21 @@ +# Causal written resources + +## Awesome Causal Inference + +A fantastic one stop shop on resources on a range causal of topics can be found at *Matt Courthoud* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference) github repo. + +Covering the essential from: + +- Academia +- Industry +- Books +- Blogs +- Code implementations +- Talks +- Tutorials + +## CausalPy focused written resources + +The CausalPy package is built around the allowing the analyst the ease to analyse quasi-experiments. As such key resources include: + +- Charles Reichardts - Quasi-Experimentation: A Guide to Design and Analysis From 3cc4e0bac75240e0cfd5107a44724bdf95f2b013 Mon Sep 17 00:00:00 2001 From: Harrison Curtis Date: Fri, 28 Mar 2025 14:37:54 +0000 Subject: [PATCH 3/6] Typo fixes --- docs/source/knowledgebase/causal_written_resources.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/knowledgebase/causal_written_resources.md b/docs/source/knowledgebase/causal_written_resources.md index 63d4ff56..02144d10 100644 --- a/docs/source/knowledgebase/causal_written_resources.md +++ b/docs/source/knowledgebase/causal_written_resources.md @@ -4,7 +4,7 @@ A fantastic one stop shop on resources on a range causal of topics can be found at *Matt Courthoud* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference) github repo. -Covering the essential from: +Covering the essentials from: - Academia - Industry @@ -16,6 +16,6 @@ Covering the essential from: ## CausalPy focused written resources -The CausalPy package is built around the allowing the analyst the ease to analyse quasi-experiments. As such key resources include: +The CausalPy package is designed to allow analysts to easily analyse quasi-experiments. As such, key resources include: -- Charles Reichardts - Quasi-Experimentation: A Guide to Design and Analysis +- Charles Reichardts - Quasi-Experimentation: A Guide to Design and Analysis. From b6c532b8cdf9d7de37d7b64a1b512dca7f3a591f Mon Sep 17 00:00:00 2001 From: Harrison Curtis Date: Fri, 28 Mar 2025 15:45:30 +0000 Subject: [PATCH 4/6] Typo fix --- docs/source/knowledgebase/causal_written_resources.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/knowledgebase/causal_written_resources.md b/docs/source/knowledgebase/causal_written_resources.md index 02144d10..6f607a47 100644 --- a/docs/source/knowledgebase/causal_written_resources.md +++ b/docs/source/knowledgebase/causal_written_resources.md @@ -2,7 +2,7 @@ ## Awesome Causal Inference -A fantastic one stop shop on resources on a range causal of topics can be found at *Matt Courthoud* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference) github repo. +A fantastic one stop shop of resources on a range of causal topics can be found at *Matt Courthoud* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference) github repo. Covering the essentials from: From 022087d20af880f02973439900a373aa970f467e Mon Sep 17 00:00:00 2001 From: Harrison Curtis Date: Fri, 28 Mar 2025 15:48:28 +0000 Subject: [PATCH 5/6] Typo fix --- docs/source/knowledgebase/causal_written_resources.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/knowledgebase/causal_written_resources.md b/docs/source/knowledgebase/causal_written_resources.md index 6f607a47..66763205 100644 --- a/docs/source/knowledgebase/causal_written_resources.md +++ b/docs/source/knowledgebase/causal_written_resources.md @@ -2,7 +2,7 @@ ## Awesome Causal Inference -A fantastic one stop shop of resources on a range of causal topics can be found at *Matt Courthoud* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference) github repo. +A fantastic one-stop shop for resources on a range of causal topics can be found in *Matt Courthoud* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference) GitHub repo. Covering the essentials from: From 48d32c156bf786b59f0284b05a2bf9981bebef7a Mon Sep 17 00:00:00 2001 From: "Benjamin T. Vincent" Date: Wed, 14 May 2025 09:05:17 +0100 Subject: [PATCH 6/6] move resources from github readme to new written resource page + update --- README.md | 11 -------- .../knowledgebase/causal_written_resources.md | 27 +++++++++---------- 2 files changed, 12 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index e8be7296..1fce81b4 100644 --- a/README.md +++ b/README.md @@ -85,17 +85,6 @@ CausalPy has a broad range of quasi-experimental methods for causal inference: | Instrumental variable regression | Addresses endogeneity by using an instrument variable that is correlated with the endogenous explanatory variable but uncorrelated with the error term. Used when explanatory variables are correlated with the error term, providing consistent estimates of causal effects. | | Inverse Propensity Score Weighting | Weights observations by the inverse of the probability of receiving the treatment. Used in causal inference to create a synthetic sample where the treatment assignment is independent of measured covariates, helping to adjust for confounding variables in observational studies. | -## Learning resources - -Here are some general resources about causal inference: - -* The official [PyMC examples gallery](https://www.pymc.io/projects/examples/en/latest/gallery.html) has a set of examples specifically relating to causal inference. -* Angrist, J. D., & Pischke, J. S. (2009). Mostly harmless econometrics: An empiricist's companion. Princeton university press. -* Angrist, J. D., & Pischke, J. S. (2014). Mastering'metrics: The path from cause to effect. Princeton university press. -* Cunningham, S. (2021). [Causal inference: The Mixtape](https://mixtape.scunning.com). Yale University Press. -* Huntington-Klein, N. (2021). [The effect: An introduction to research design and causality](https://theeffectbook.net). Chapman and Hall/CRC. -* Reichardt, C. S. (2019). Quasi-experimentation: A guide to design and analysis. Guilford Publications. - ## License [Apache License 2.0](LICENSE) diff --git a/docs/source/knowledgebase/causal_written_resources.md b/docs/source/knowledgebase/causal_written_resources.md index 66763205..707de2e0 100644 --- a/docs/source/knowledgebase/causal_written_resources.md +++ b/docs/source/knowledgebase/causal_written_resources.md @@ -1,21 +1,18 @@ -# Causal written resources +# Written resources on causal inference -## Awesome Causal Inference +Below is a list of written resources (books, blog posts, etc.) that are useful for learning about causal inference. -A fantastic one-stop shop for resources on a range of causal topics can be found in *Matt Courthoud* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference) GitHub repo. +## Quasi-experiment resources -Covering the essentials from: +* Angrist, J. D., & Pischke, J. S. (2009). [Mostly harmless econometrics: An empiricist's companion](https://www.mostlyharmlesseconometrics.com). Princeton university press. +* Angrist, J. D., & Pischke, J. S. (2014). [Mastering'metrics: The path from cause to effect](https://www.masteringmetrics.com). Princeton University Press. +* Cunningham, S. (2021). [Causal inference: The Mixtape](https://mixtape.scunning.com). Yale University Press. +* Huntington-Klein, N. (2021). [The effect: An introduction to research design and causality](https://theeffectbook.net). Chapman and Hall/CRC. +* Reichardt, C. S. (2019). Quasi-experimentation: A guide to design and analysis. Guilford Publications. -- Academia -- Industry -- Books -- Blogs -- Code implementations -- Talks -- Tutorials +## Bayesian causal inference resources +* The official [PyMC examples gallery](https://www.pymc.io/projects/examples/en/latest/gallery.html) has a set of examples specifically relating to causal inference. -## CausalPy focused written resources +## General causal inference resources -The CausalPy package is designed to allow analysts to easily analyse quasi-experiments. As such, key resources include: - -- Charles Reichardts - Quasi-Experimentation: A Guide to Design and Analysis. +* [Awesome Causal Inference](https://github.com/matteocourthoud/awesome-causal-inference), a curated list of resources on causal inference, including books, blogs, and tutorials.