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Causal Inference: The Mixtape

Scott Cunningham

Causal Inference in Statistics: A Primer

Judea Pearl

Causal Inference: What If

Miguel Angel Hernán

Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Aleksander Molak

Experimental and Quasi-Experimental Designs for Generalized Causal Inference

William R. Shadish

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Guido Imbens

Observation and Experiment: An Introduction to Causal Inference

Paul R. Rosenbaum

Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)

Jonas Peters

Causal Inference

Paul R. Rosenbaum

Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

Stephen L. Morgan

Causal Inference in Python: Applying Causal Inference in the Tech Industry

Matheus Facure

Methods Matter: Improving Causal Inference in Educational and Social Science Research

Richard J. Murnane

Statistical Models and Causal Inference: A Dialogue with the Social Sciences

David Freedman

An Introduction to Causal Inference

Judea Pearl

Causal Inference for the Brave and True

Matheus Facure

Explanation in Causal Inference: Methods for Mediation and Interaction

Tyler Vanderweele

Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference

Andrew Gelman

Introduction to Causal Inference from a Machine Learning Perspective

Neal, Brady

Targeted Learning: Causal Inference for Observational and Experimental Data (Springer Series in Statistics)

Mark van der Laan