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Causal Inference Books
Showing 1-44 of 44
Causal Inference: The Mixtape (ebook)
by (shelved 10 times as causal-inference)
avg rating 4.39 — 244 ratings — published
Causal Inference in Statistics: A Primer (Kindle Edition)
by (shelved 9 times as causal-inference)
avg rating 4.11 — 254 ratings — published 2016
The Book of Why: The New Science of Cause and Effect (Hardcover)
by (shelved 8 times as causal-inference)
avg rating 3.94 — 6,610 ratings — published 2018
Observation and Experiment: An Introduction to Causal Inference (Hardcover)
by (shelved 7 times as causal-inference)
avg rating 4.33 — 54 ratings — published
Causal Inference: What If (Hardcover)
by (shelved 6 times as causal-inference)
avg rating 4.38 — 53 ratings — published 2011
Mostly Harmless Econometrics: An Empiricist's Companion (Paperback)
by (shelved 6 times as causal-inference)
avg rating 4.16 — 1,028 ratings — published 2008
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
by (shelved 5 times as causal-inference)
avg rating 3.64 — 50 ratings — published
Causality: Models, Reasoning, and Inference (Hardcover)
by (shelved 5 times as causal-inference)
avg rating 4.17 — 330 ratings — published 2000
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (Hardcover)
by (shelved 4 times as causal-inference)
avg rating 4.49 — 74 ratings — published 2014
Mastering 'Metrics: The Path from Cause to Effect (Kindle Edition)
by (shelved 4 times as causal-inference)
avg rating 4.27 — 857 ratings — published 2014
The Effect (Paperback)
by (shelved 3 times as causal-inference)
avg rating 4.40 — 75 ratings — published
Causal Inference in Python: Applying Causal Inference in the Tech Industry (Paperback)
by (shelved 3 times as causal-inference)
avg rating 4.61 — 38 ratings — published
Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
by (shelved 3 times as causal-inference)
avg rating 3.98 — 100 ratings — published 2007
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more (Paperback)
by (shelved 2 times as causal-inference)
avg rating 4.47 — 58 ratings — published
Causal Inference for the Brave and True (ebook)
by (shelved 2 times as causal-inference)
avg rating 4.63 — 19 ratings — published
Design of Observational Studies (Springer Series in Statistics)
by (shelved 2 times as causal-inference)
avg rating 4.52 — 27 ratings — published 1995
Statistical Models and Causal Inference: A Dialogue with the Social Sciences (Hardcover)
by (shelved 2 times as causal-inference)
avg rating 3.93 — 14 ratings — published 2009
Causality (Kindle Edition)
by (shelved 1 time as causal-inference)
avg rating 4.00 — 1 rating — published
Bayesian Analysis for the Social Sciences (Wiley Series in Probability and Statistics)
by (shelved 1 time as causal-inference)
avg rating 3.87 — 15 ratings — published 2008
Random Acts of Medicine: The Hidden Forces That Sway Doctors, Impact Patients, and Shape Our Health (Hardcover)
by (shelved 1 time as causal-inference)
avg rating 3.69 — 1,756 ratings — published 2023
Causality: Philosophical Theory meets Scientific Practice (Kindle Edition)
by (shelved 1 time as causal-inference)
avg rating 3.91 — 11 ratings — published 2014
Handbook of Causal Analysis for Social Research (Handbooks of Sociology and Social Research)
by (shelved 1 time as causal-inference)
avg rating 4.67 — 3 ratings — published 2012
Field Experiments: Design, Analysis, and Interpretation (Paperback)
by (shelved 1 time as causal-inference)
avg rating 4.29 — 116 ratings — published 2012
An Essay Upon the Relation of Cause and Effect, Controverting the Doctrine of Mr. Hume, Concerning the Nature of That Relation: With Observations Upon the Opinions of Dr. Brown and Mr. Lawrence, Co... (Paperback)
by (shelved 1 time as causal-inference)
avg rating 3.62 — 8 ratings — published
Epidemiology by Design: A Causal Approach to the Health Sciences (Paperback)
by (shelved 1 time as causal-inference)
avg rating 4.21 — 28 ratings — published
Time and Causality across the Sciences (Hardcover)
by (shelved 1 time as causal-inference)
avg rating 4.00 — 4 ratings — published
Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry)
by (shelved 1 time as causal-inference)
avg rating 0.0 — 0 ratings — published
Causal Inference for Data Science (Paperback)
by (shelved 1 time as causal-inference)
avg rating 3.50 — 6 ratings — published
Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples (Kindle Edition)
by (shelved 1 time as causal-inference)
avg rating 4.28 — 18 ratings — published
Introduction to Causal Inference from a Machine Learning Perspective (ebook)
by (shelved 1 time as causal-inference)
avg rating 4.75 — 8 ratings — published
Natural Experiments in the Social Sciences: A Design-Based Approach (Strategies for Social Inquiry)
by (shelved 1 time as causal-inference)
avg rating 4.29 — 35 ratings — published 2012
Deep Roots: How Slavery Still Shapes Southern Politics (Princeton Studies in Political Behavior)
by (shelved 1 time as causal-inference)
avg rating 3.96 — 131 ratings — published
つくりながら学ぶ! Pythonによる因果分析: 因果推論・因果探索の実践入門 Compass Booksシリーズ (Japanese Edition)
by (shelved 1 time as causal-inference)
avg rating 0.0 — 0 ratings — published
Counterfactuals (Paperback)
by (shelved 1 time as causal-inference)
avg rating 4.06 — 134 ratings — published 1973
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing (Paperback)
by (shelved 1 time as causal-inference)
avg rating 4.40 — 644 ratings — published
Experimentation Works: The Surprising Power of Business Experiments (Hardcover)
by (shelved 1 time as causal-inference)
avg rating 3.90 — 357 ratings — published 2020
Public Policy in an Uncertain World: Analysis and Decisions (Hardcover)
by (shelved 1 time as causal-inference)
avg rating 4.22 — 51 ratings — published 2013
An Introduction to Causal Inference (Kindle Edition)
by (shelved 1 time as causal-inference)
avg rating 3.67 — 15 ratings — published 2014
The Research Methods Knowledge Base, 3rd Edition (Paperback)
by (shelved 1 time as causal-inference)
avg rating 3.80 — 104 ratings — published 1999
Actual Causality (Hardcover)
by (shelved 1 time as causal-inference)
avg rating 3.23 — 13 ratings — published
Causation: A Very Short Introduction (Paperback)
by (shelved 1 time as causal-inference)
avg rating 3.94 — 306 ratings — published 2013
Causation, Prediction, and Search (Adaptive Computation and Machine Learning)
by (shelved 1 time as causal-inference)
avg rating 3.85 — 27 ratings — published 1993
Rethinking Social Inquiry: Diverse Tools, Shared Standards (Paperback)
by (shelved 1 time as causal-inference)
avg rating 3.72 — 118 ratings — published 2004
Designing Social Inquiry: Scientific Inference in Qualitative Research (Paperback)
by (shelved 1 time as causal-inference)
avg rating 3.50 — 423 ratings — published 1994
“Pearl combines aspects of structural equations models and path diagrams. In this approach, assumptions underlying causal statements are coded as missing links in the path diagrams. Mathematical methods are then used to infer, from these path diagrams, which causal effects can be inferred from the data, and which cannot. Pearl's work is interesting, and many researchers find his arguments that path diagrams are a natural and convenient way to express assumptions about causal structures appealing. In our own work, perhaps influenced by the type of examples arising in social and medical sciences, we have not found this approach to aid drawing of causal inferences, and we do not discuss it further in this text.”
― Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
― Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
“To me AI becomes interesting when it has awareness of causality, not just correlation. When it can deal with ambiguity and that sensitive dependencies exist outside the bounds of a defined data set which can lead to different outcomes. - Tom Golway”
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