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.

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Yes, you can access Statistics and Causality by Wolfgang Wiedermann, Alexander von Eye, Wolfgang Wiedermann, Alexander von Eye in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley

Year

2016

ISBN

9781118947067

Edition

Topic

Social Sciences

Subtopic

Social Science Research & Methodology

Index

Social Sciences

Cover
Wiley Series in Probability and Statistics
Title Page
Copyright
Table of Contents
List of Contributors
Preface
Acknowledgments
Part I Bases of Causality
Part II: Directionality of Effects
Part III: Granger Causality and Longitudinal Data Modeling
Part IV: Counterfactual Approaches and Propensity Score Analysis
Part V: Designs for Causal Inference
Index
End User License Agreement