Causal Analysis in Biomedicine and Epidemiology

Causal Analysis in Biomedicine and Epidemiology
Author: Mikel Aickin
Publisher: CRC Press
Total Pages: 240
Release: 2001-11-09
Genre: Mathematics
ISBN: 9780824707484

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"Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems."


Causal Analysis in Biomedicine and Epidemiology
Language: en
Pages: 240
Authors: Mikel Aickin
Categories: Mathematics
Type: BOOK - Published: 2001-11-09 - Publisher: CRC Press

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"Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new method of model para
Causation in Population Health Informatics and Data Science
Language: en
Pages: 139
Authors: Olaf Dammann
Categories: Medical
Type: BOOK - Published: 2018-10-29 - Publisher: Springer

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Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population
Epidemiology by Design
Language: en
Pages: 241
Authors: Daniel Westreich
Categories: Medical
Type: BOOK - Published: 2019-11 - Publisher: Oxford University Press, USA

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A (LONG OVERDUE) CAUSAL APPROACH TO INTRODUCTORY EPIDEMIOLOGY Epidemiology is recognized as the science of public health, evidence-based medicine, and comparati
Causal Relationships in Medicine
Language: en
Pages: 352
Authors: J. Mark Elwood
Categories: Language Arts & Disciplines
Type: BOOK - Published: 1988 - Publisher: Oxford University Press, USA

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This book shows that in most controversial questions in medicine the essential argument concerns whether the available evidence supports a particular cause-and-
Risk, Chance, and Causation
Language: en
Pages: 346
Authors: Michael B. Bracken
Categories: Medical
Type: BOOK - Published: 2013-06-18 - Publisher: Yale University Press

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DIVA noted clinical epidemiologist shows how evidence-based medicine can help us understand and assess news about health risks, cures, and treatment “brea