Pearl, J., & Mackenzie, D. (2018). $\mathit{The \ Book \ of \ Why: \ The \ New \ Science \ of \ Cause \ and \ Effect.}$ Basic Books.

The Book of Why

Explanation in Causal Inference: Methods for Mediation and Interaction 1st Edition (2015)
Author: VanderWeele, Tyler

Explanation in Causal Inference: Methods for Mediation and Interaction 1st Edition

Pearl, J., Glymour, M., & Jewell, N. P. (2016). Causal inference in statistics : A primer. Retrieved from https://ebookcentral-proquest-com.proxy.lib.umich.edu

Causal inference in statistics : A primer

 Isabelle Guyon, Alexander Statnikov, Berna Bakir Batu (2019)
Cause Effect Pairs in Machine Learning (The Springer Series on Challenges in Machine Learning)
https://www.amazon.com/Effect-Machine-Learning-Springer-Challenges/dp/3030218090

Cause Effect Pairs in Machine Learning

This contains the reference information for the books about causal inference. List of helpful books about causal inference:
1. The Book of Why
2. Causal inference in statistics : A primer
3. Explanation in Causal Inference: Methods for Mediation and Interaction 1st Edition (2015).  Author: VanderWeele, Tyler

University of Michigan - Ann Arbor

- Causal Inference Books
- Causal Inference Papers

Causal Inference References

Causal Inference Books

This contains the reference information for papers about causal inference. List of helpful papers about causal inference:

- Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience
- Causal inference Based on Counterfactuals
- Illustrating bias due to conditioning on a collider
- Towards Clarifying the Theory of the Deconfounder
- On Geometry of Information Flow for Causal Inference
- Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling
- A Crash Course in Good and Bad Controls
- The Seven Tools of Causal Inference, with Reﬂections on Machine Learning
- Generalizing Experimental Results by Leveraging Knowledge of Mechanisms
- Note on ‘‘Generalizability of Study Results‘‘
- THE LIMITATIONS OF OPAQUE LEARNING MACHINES
- Sensitivity Analysis of Linear Structural Causal Models
- The Environment and Disease: Association or Causation?
- Confounding and Collapsibility in Causal Inference
- Causal Inference-so much more than statistics

Causal Inference Papers

This contains useful videos to help learn about or discuss causal inference. List of causal inference videos: 

Counterfactuals:
https://www.youtube.com/watch?v=9j_HWkrSxzI

Judea Pearl as Keynote speaker on cause and effect:
https://www.youtube.com/watch?v=ZaPV1OSEpHw

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