Counterfactuals And Causal Inference

Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2nd Edition

Stephen L. Morgan, Christopher Winship, "Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2nd Edition"
2014 | ISBN-10: 1107694167, 1107065070 | 524 pages | PDF | 8 MB
Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference [Repost]

Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference by Bill Shipley
English | Sep. 2, 2002 | ISBN: 0521529212 | 332 Pages | PDF | 4.56 MB

Bill Shipley explores the logical and methodological relationships between correlation and causation.
Statistical Models and Causal Inference: A Dialogue with the Social Sciences by David A. Freedman

Statistical Models and Causal Inference: A Dialogue with the Social Sciences by David A. Freedman
English | Nov. 30, 2009 | ISBN: 0521195004, 0521123909 | 417 Pages | PDF | 1 MB

David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology.

Case Studies and Causal Inference: An Integrative Framework  eBooks & eLearning

Posted by ChrisRedfield at July 18, 2015
Case Studies and Causal Inference: An Integrative Framework

Ingo Rohlfing - Case Studies and Causal Inference: An Integrative Framework
Published: 2012-10-30 | ISBN: 0230240704 | PDF | 272 pages | 2.53 MB
Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives by Xiao-Li Meng

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives by Xiao-Li Meng
English | Sep 3, 2004 | ISBN: 047009043X | 411 Pages | PDF | 5 MB

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 SAGE Handbook of Regression Analysis and Causal Inference  eBooks & eLearning

Posted by nebulae at March 21, 2015
The SAGE Handbook of Regression Analysis and Causal Inference

Henning Best and Christof Wolf, "The SAGE Handbook of Regression Analysis and Causal Inference"
English | ISBN: 1446252442 | 2014 | 424 pages | PDF | 7 MB
Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference (Repost)

Bill Shipley, "Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference"
English | 2000-11-20 | ISBN: 0521791537 | 330 pages | PDF | 4.56 mb

Elements of Causal Inference: Foundations and Learning Algorithms  eBooks & eLearning

Posted by arundhati at April 1, 2018
Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters,‎ Dominik Janzing, "Elements of Causal Inference: Foundations and Learning Algorithms"
2017 | ISBN-10: 0262037319 | 288 pages | PDF | 21 MB

Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies  eBooks & eLearning

Posted by AvaxGenius at March 28, 2018
Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies By Mark J. van der Laan
English | PDF,EPUB | 2018 | 655 Pages | ISBN : 3319653032 | 17.35 MB

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference.

An Investigation of the Causal Inference between Epidemiology and Jurisprudence  eBooks & eLearning

Posted by AvaxGenius at Feb. 25, 2018
An Investigation of the Causal Inference between Epidemiology and Jurisprudence

An Investigation of the Causal Inference between Epidemiology and Jurisprudence By Minsoo Jung
English | PDF,EPUB | 2018 | 112 Pages | ISBN : 9811078610 | 2 MB

This book examines how legal causation inference and epidemiological causal inference can be harmonized within the realm of jurisprudence, exploring why legal causation and epidemiological causation differ from each other and defining related problems. The book also discusses how legal justice can be realized and how victims’ rights can be protected. It looks at epidemiological evidence pertaining to causal relationships in cases such as smoking and the development of lung cancer, and enables readers to correctly interpret and rationally use the results of epidemiological studies in lawsuits.