Statistical Models and Causal Inference

Statistical Models and Causal Inference
Author: David A. Freedman
Publisher: Cambridge University Press
Total Pages: 416
Release: 2010
Genre: Mathematics
ISBN: 0521195004
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David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.


Statistical Models and Causal Inference
Language: en
Pages: 416

Statistical Models and Causal Inference

Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: Cambridge University Press

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David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Statistical Models for Causal Analysis
Language: en
Pages: 274

Statistical Models for Causal Analysis

Authors: Robert D. Retherford
Categories: Mathematics
Type: BOOK - Published: 2011-02-01 - Publisher: John Wiley & Sons

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Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate re
Causal Inference in Statistics
Language: en
Pages: 162

Causal Inference in Statistics

Authors: Judea Pearl
Categories: Mathematics
Type: BOOK - Published: 2016-01-25 - Publisher: John Wiley & Sons

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CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we
Statistical Models
Language: en
Pages: 459

Statistical Models

Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2009-04-27 - Publisher: Cambridge University Press

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This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the technique
Causal Inference
Language: en
Pages: 585

Causal Inference

Authors: Scott Cunningham
Categories: Business & Economics
Type: BOOK - Published: 2021-01-26 - Publisher: Yale University Press

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An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the bas