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Language: en
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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: 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
Language: en
Pages: 417
Pages: 417
Type: BOOK - Published: 2015-04-07 - Publisher: Guilford Publications
This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on c
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: 0
Pages: 0
Type: BOOK - Published: 2015 - Publisher: Createspace Independent Publishing Platform
This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical