An Introduction to Causal Inference

An Introduction to Causal Inference PDF Author: Judea Pearl
Publisher: Createspace Independent Publishing Platform
ISBN: 9781507894293
Category : Causation
Languages : en
Pages : 0

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Book Description
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underly all causal inferences, the languages used in formulating those assumptions, the conditional nature of all causal and counterfactual claims, and the methods that have been developed for the assessment of such claims. These advances are illustrated using a general theory of causation based on the Structural Causal Model (SCM) described in Pearl (2000a), which subsumes and unifies other approaches to causation, and provides a coherent mathematical foundation for the analysis of causes and counterfactuals. In particular, the paper surveys the development of mathematical tools for inferring (from a combination of data and assumptions) answers to three types of causal queries: (1) queries about the effects of potential interventions, (also called "causal effects" or "policy evaluation") (2) queries about probabilities of counterfactuals, (including assessment of "regret," "attribution" or "causes of effects") and (3) queries about direct and indirect effects (also known as "mediation"). Finally, the paper defines the formal and conceptual relationships between the structural and potential-outcome frameworks and presents tools for a symbiotic analysis that uses the strong features of both. The tools are demonstrated in the analyses of mediation, causes of effects, and probabilities of causation. -- p. 1.

An Introduction to Causal Inference

An Introduction to Causal Inference PDF Author: Judea Pearl
Publisher: Createspace Independent Publishing Platform
ISBN: 9781507894293
Category : Causation
Languages : en
Pages : 0

Get Book Here

Book Description
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underly all causal inferences, the languages used in formulating those assumptions, the conditional nature of all causal and counterfactual claims, and the methods that have been developed for the assessment of such claims. These advances are illustrated using a general theory of causation based on the Structural Causal Model (SCM) described in Pearl (2000a), which subsumes and unifies other approaches to causation, and provides a coherent mathematical foundation for the analysis of causes and counterfactuals. In particular, the paper surveys the development of mathematical tools for inferring (from a combination of data and assumptions) answers to three types of causal queries: (1) queries about the effects of potential interventions, (also called "causal effects" or "policy evaluation") (2) queries about probabilities of counterfactuals, (including assessment of "regret," "attribution" or "causes of effects") and (3) queries about direct and indirect effects (also known as "mediation"). Finally, the paper defines the formal and conceptual relationships between the structural and potential-outcome frameworks and presents tools for a symbiotic analysis that uses the strong features of both. The tools are demonstrated in the analyses of mediation, causes of effects, and probabilities of causation. -- p. 1.

Causal inference

Causal inference PDF Author: K. J. Rothman
Publisher: Kenneth Rothman
ISBN: 9780917227035
Category : Medical
Languages : en
Pages : 220

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Book Description


Best Explanations

Best Explanations PDF Author: Kevin McCain
Publisher: Oxford University Press
ISBN: 0198746903
Category : Philosophy
Languages : en
Pages : 315

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Book Description
Twenty philosophers offer new essays examining the form of reasoning known as inference to the best explanation - widely used in science and in our everyday lives, yet still controversial. Best Explanations represents the state of the art when it comes to understanding, criticizing, and defending this form of reasoning.

Causality

Causality PDF Author: Carlo Berzuini
Publisher: John Wiley & Sons
ISBN: 1119941733
Category : Mathematics
Languages : en
Pages : 387

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Book Description
A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the reader's understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

Experimental and Quasi-experimental Designs for Generalized Causal Inference

Experimental and Quasi-experimental Designs for Generalized Causal Inference PDF Author: William R. Shadish
Publisher: Cengage Learning
ISBN:
Category : Education
Languages : en
Pages : 664

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Book Description
Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.

Causal Inference in Statistics, Social, and Biomedical Sciences

Causal Inference in Statistics, Social, and Biomedical Sciences PDF Author: Guido W. Imbens
Publisher: Cambridge University Press
ISBN: 0521885884
Category : Business & Economics
Languages : en
Pages : 647

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Book Description
This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Essays on Actions and Events

Essays on Actions and Events PDF Author: Donald Davidson
Publisher: Oxford University Press
ISBN: 0199246262
Category : Philosophy
Languages : en
Pages : 347

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Book Description
Donald Davidson has prepared a new edition of his classic 1980 collection of Essays on Actions and Events, including two additional essays.

Essays on the Context, Nature, and Influence of Isaac Newton’s Theology

Essays on the Context, Nature, and Influence of Isaac Newton’s Theology PDF Author: J.E. Force
Publisher: Springer Science & Business Media
ISBN: 9400919441
Category : Philosophy
Languages : en
Pages : 230

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Book Description
This collection of essays is the fruit of about fifteen years of discussion and research by James Force and me. As I look back on it, our interest and concern with Newton's theological ideas began in 1975 at Washington University in St. Louis. James Force was a graduate student in philosophy and I was a professor there. For a few years before, I had been doing research and writing on Millenarianism and Messianism in the 17th and 18th centuries, touching occasionally on Newton. I had bought a copy of Newton's Observations upon the Prophecies of Daniel, and the Apocalypse of St. John for a few pounds and, occasionally, read in it. In the Spring of 1975 I was giving a graduate seminar on Millenarian and Messianic ideas in the development of modem philosophy. Force was in the seminar. One day he came very excitedly up to me and said he wanted to write his dissertation on William Whiston. At that point in history, the only thing that came to my mind about Whiston was that he had published a, or the, standard translation of Josephus (which I also happened to have in my library. ) Force told me about the amazing views he had found in Whiston's notes on Josephus and in some of the few writings he could find in St. Louis by, or about, Whiston, who was Newton's successor as Lucasian Professor of mathematics at Cambridge and who wrote inordinately on Millenarian theology.

Essays in Honor of Cheng Hsiao

Essays in Honor of Cheng Hsiao PDF Author: Dek Terrell
Publisher: Emerald Group Publishing
ISBN: 1789739594
Category : Business & Economics
Languages : en
Pages : 427

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Book Description
Including contributions spanning a variety of theoretical and applied topics in econometrics, this volume of Advances in Econometrics is published in honour of Cheng Hsiao.

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives PDF Author: Andrew Gelman
Publisher: John Wiley & Sons
ISBN: 9780470090435
Category : Mathematics
Languages : en
Pages : 448

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Book Description
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data. Key features of the book include: Comprehensive coverage of an imporant area for both research and applications. Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques. Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference. Includes a number of applications from the social and health sciences. Edited and authored by highly respected researchers in the area.