Causal Inference : What If
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Elements of Causal Inference - Foundations and Learning Algorithms
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Qualitative Causal Inference and Explanation (Strategies for Social Inquiry)
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Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference
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Causal Inference (The MIT Press Essential Knowledge series)
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Causal Inference with Bayesian Networks: Build Bayesian Networks and Causal Inference Models with R and Python
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Counterfactuals and Causal Inference: Methods And Principles For Social Research (Analytical Methods for Social Research)
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Computational Global Macro: Game Theory, Machine Learning, And Causal Inference
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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies (Springer Series in Statistics)
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Combining Human Genetics and Causal Inference to Understand Human Disease and Development: A Subject Collection from Cold Spring Harbor Perspectives in Medicine (Perspectives Cshl)
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
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Cause, Effect, and Everything in Between: An Introduction to Causal Inference
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Explanation in Causal Inference – Methods for Mediation and Interaction
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Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)
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Observation and Experiment: An Introduction to Causal Inference
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Causal Inference and the People's Health (Small Books Big Ideas in Population Health)
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Mendelian Randomization – Methods for Causal Inference Using Genetic Variants
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Causal Inference in Python – Applying Causal Inference in the Tech Industry
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Econometric Modeling & Forecasting with Python: Applied Methods for Causal Inference, Time Series, and Predictive Economic Analytics
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Python for Economists: Causal Inference, Structural Models, and Real-World Policy & Market Analysis: A Comprehensive Guide
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Statistical Models and Causal Inference: A Dialogue with the Social Sciences
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Machine Learning for Econometrics with Python: Causal Inference, Structural Modeling, and Predictive Methods for Economic Research
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Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R
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Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine: 76 (Statistics for Biology and Health, 76)
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Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making
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A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
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Causal Inference and Reinforcement Learning for Quantitative Finance: A Practical Guide for Traders and Risk Managers
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Targeted Learning: Causal Inference for Observational and Experimental Data (Springer Series in Statistics)
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Causal Inference with Differences-in-Differences: Credible Answers to Hard Questions
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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family (Wiley Series in Probability and Statistics)
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Causal Inference with Differences-in-Differences: Credible Answers to Hard Questions
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Methods Matter – Improving Causal Inference in Educational and Social Science Research
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The Origin of Causal Inference in Perception: A Transcendental Theory of Perception and Critique of Neo-Empiricism
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