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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: 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: 729
Pages: 729
Type: BOOK - Published: 2015 - Publisher: Oxford University Press, USA
The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity ana
Language: en
Pages: 204
Pages: 204
Type: BOOK - Published: 2013-07-23 - Publisher: Springer Science & Business Media
Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for
Language: en
Pages: 289
Pages: 289
Type: BOOK - Published: 2017-11-29 - Publisher: MIT Press
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is