Causal Inference In Statistics
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Language: en
Pages: 162
Pages: 162
Type: BOOK - Published: 2016-01-25 - Publisher: John Wiley & Sons
CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we
Language: en
Pages: 487
Pages: 487
Type: BOOK - Published: 2009-09-14 - Publisher: Cambridge University Press
Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unifi
Language: en
Pages: 248
Pages: 248
Type: BOOK - Published: 2021-11-10 - Publisher: CRC Press
One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is
Language: en
Pages: 647
Pages: 647
Type: BOOK - Published: 2015-04-06 - Publisher: Cambridge University Press
This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
Language: en
Pages: 416
Pages: 416
Type: BOOK - Published: 2010 - Publisher: Cambridge University Press
David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
