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Statistics and Causality: Methods for Applied Empirical Research (2016) by Wolfgang Wiedermann, Alexander von Eye pdf [Dr Soc]

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  Statistics and Causality: Methods for
Applied Empirical Research by Wolfgang Wiedermann, Alexander von Eye
  June 7, 2016 | ISBN: 1118947045 |
English | 480 pages | PDF | 7 MB
  
  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.
  
  
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