Statistics and Causality

Methods for Applied Empirical Research

Nonfiction, Science & Nature, Mathematics, Probability, Social & Cultural Studies, Social Science, Statistics, Logic
Cover of the book Statistics and Causality by , Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781118947067
Publisher: Wiley Publication: May 12, 2016
Imprint: Wiley Language: English
Author:
ISBN: 9781118947067
Publisher: Wiley
Publication: May 12, 2016
Imprint: Wiley
Language: English

A 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A 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:

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.

More books from Wiley

Cover of the book The Innovator's Path by
Cover of the book DSM-5 Learning Companion for Counselors by
Cover of the book Flexible Robotics by
Cover of the book Success as a Real Estate Agent for Dummies - Australia / NZ by
Cover of the book Robot Learning by Visual Observation by
Cover of the book Discourse Analysis by
Cover of the book Student Cookbook For Dummies by
Cover of the book Animal Biology and Care by
Cover of the book The Braconid and Ichneumonid Parasitoid Wasps by
Cover of the book Eyestrain Reduction in Stereoscopy by
Cover of the book Dealing With The Tough Stuff by
Cover of the book Beginning SharePoint 2010 by
Cover of the book Development and International Relations by
Cover of the book Catalytic Oxidation Reagents by
Cover of the book A Quantitative Approach to Commercial Damages by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy