Causal Inference Reading List:

Introductory Articles:

  • Hernán MA (2016) Does water kill? A call for less casual causal inferences. Ann Epidemiol. 2016 Oct; 26(10): 674–680.

  • Naimi AI and Whitcomb BW. Defining and Identifying Average Treatment Effects. American Journal of Epidemiology. 2023 192(5): 685–687.

  • Naimi AI and Whitcomb BW. Defining and Identifying Local Average Treatment Effects. American Journal of Epidemiology. Forthcoming.

  • VanderWeele TJ and Hernán MA (2013) Causal Inference Under Multiple Versions of Treatment. J Causal Inference. 2013 May 1; 1(1): 1–20.

  • Murray EJ et al (2020) Causal survival analysis: A guide to estimating intention-to-treat and per-protocol effects from randomized clinical trials with non-adherence.

  • Dablander F (2020) Introduction to Causal Inference. https://osf.io/preprints/psyarxiv/b3fkw

  • Naimi et al (2017) Introduction to G Methods. International Journal of Epidemiology, Volume 46, Issue 2, April 2017, Pages 756–762

  • Glass et al (2013) Causal Inference in Public Health. Annual Review of Public Health. Volume 34: pp 61-75

  • Greenland S (2017) For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates. European Journal of Epidemiology. Volume 32, pages 3–20.

Intermediate/Advanced Articles:

  • Cole and Hernan (2008) Constructing Inverse Probability Weights for Marginal Structural Models. Am J Epidemiol. 15;168(6):656-64

  • Greenland (1990) Randomization, Statistics, and Causal Inference. Epidemiology. 1990 Nov;1(6):421-9.

  • Diaz I (2020) Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning. Biostatistics. 21(2): 353–358.

Introductory Books:

  • Hernán MA, Robins JM (2023). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC.

  • Cunningham (2021) Causal Inference: The Mixtape

  • Pearl, Glymour, Jewell (2016) Causal Inference in Statistics: A Primer

  • Imbens and Rubin (2015) Causal Inference for Statistics, Social, and Biomedical Sciences

  • VanderWeele (2015) Explanation in Causal Inference: Methods for Mediation and Interaction. One of the best texts on methods for mediation analysis

Intermediate/Advanced Texts

  • Pearl (2009) Causality: Models, Reasoning, and Inference

  • van der Laan and Rose (2011) Targeted Learning: Causal Inference for Observational and Experimental Data.

  • Aronow and Miller (2019) Foundations of Agnostic Statistics. Intermediate/advanced text on statistics. Chapter 7 is an excellent treatment of causal inference.