Causal Inference in Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Causal Inference in Statistics write by Judea Pearl. This book was released on 2016-01-25. Causal Inference in Statistics available in PDF, EPUB and Kindle. CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.
Causality
Causality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Causality write by Carlo Berzuini. This book was released on 2012-06-04. Causality available in PDF, EPUB and Kindle. 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.
Causality
Causality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Causality write by Judea Pearl. This book was released on 2009-09-14. Causality available in PDF, EPUB and Kindle. Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...
Statistics and Causality
Statistics and Causality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics and Causality write by Wolfgang Wiedermann. This book was released on 2016-05-12. Statistics and Causality available in PDF, EPUB and Kindle. b”STATISTICS AND CAUSALITYA one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.
Causal Inference in Statistics, Social, and Biomedical Sciences
Causal Inference in Statistics, Social, and Biomedical Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Causal Inference in Statistics, Social, and Biomedical Sciences write by Guido W. Imbens. This book was released on 2015-04-06. Causal Inference in Statistics, Social, and Biomedical Sciences available in PDF, EPUB and Kindle. This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
