Causal Thinking In The Health Sciences
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Causal Thinking In The Health Sciences
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Author : Mervyn Susser
language : en
Publisher:
Release Date : 1973
Causal Thinking In The Health Sciences written by Mervyn Susser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Medical categories.
Causal Thinking In The Health Sciences
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Author : Mervyn Susser
language : en
Publisher: Oxford University Press, USA
Release Date : 1985-04-01
Causal Thinking In The Health Sciences written by Mervyn Susser and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-04-01 with categories.
Causation In Population Health Informatics And Data Science
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Author : Olaf Dammann
language : en
Publisher: Springer
Release Date : 2018-10-29
Causation In Population Health Informatics And Data Science written by Olaf Dammann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-29 with Medical categories.
Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research. Key concepts covered include how data are generated and interpreted, and how and why concepts in health informatics and the philosophy of science should be integrated in a systems-thinking approach. Furthermore, a formal epistemology for the health sciences and public health is suggested. Causation in Population Health Informatics and Data Science provides a detailed guide of the latest thinking on causal inference in population health informatics. It is therefore a critical resource for all informaticians and epidemiologists interested in the potential benefits of utilising a systems-based approach to causal inference in health informatics.
Causation In Population Health Informatics And Data Science
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Author : Olaf Dammann
language : en
Publisher:
Release Date : 2019
Causation In Population Health Informatics And Data Science written by Olaf Dammann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Data mining categories.
Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research. Key concepts covered include how data are generated and interpreted, and how and why concepts in health informatics and the philosophy of science should be integrated in a systems-thinking approach. Furthermore, a formal epistemology for the health sciences and public health is suggested. Causation in Population Health Informatics and Data Science provides a detailed guide of the latest thinking on causal inference in population health informatics. It is therefore a critical resource for all informaticians and epidemiologists interested in the potential benefits of utilising a systems-based approach to causal inference in health informatics.
Rethinking Causality Complexity And Evidence For The Unique Patient
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Author : Rani Lill Anjum
language : en
Publisher: Springer Nature
Release Date : 2020-06-02
Rethinking Causality Complexity And Evidence For The Unique Patient written by Rani Lill Anjum and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Philosophy categories.
This open access book is a unique resource for health professionals who are interested in understanding the philosophical foundations of their daily practice. It provides tools for untangling the motivations and rationality behind the way medicine and healthcare is studied, evaluated and practiced. In particular, it illustrates the impact that thinking about causation, complexity and evidence has on the clinical encounter. The book shows how medicine is grounded in philosophical assumptions that could at least be challenged. By engaging with ideas that have shaped the medical profession, clinicians are empowered to actively take part in setting the premises for their own practice and knowledge development. Written in an engaging and accessible style, with contributions from experienced clinicians, this book presents a new philosophical framework that takes causal complexity, individual variation and medical uniqueness as default expectations for health and illness.
The Book Of Why
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Author : Judea Pearl
language : en
Publisher: Penguin UK
Release Date : 2018-05-15
The Book Of Why written by Judea Pearl and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-15 with Philosophy categories.
A pioneer of artificial intelligence shows how the study of causality revolutionized science and the world 'Correlation does not imply causation.' This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer and carbon dioxide and global warming. But today, that taboo is dead. The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing how it allows us to explore the world that is and the worlds that could have been. It is the essence of human and artificial intelligence. And just as Pearl's discoveries have enabled machines to think better, The Book of Why explains how we can think better.
How To Think In Medicine
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Author : Milos Jenicek
language : en
Publisher: CRC Press
Release Date : 2018-08-06
How To Think In Medicine written by Milos Jenicek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-06 with Business & Economics categories.
Mastery of quality health care and patient safety begins as soon as we open the hospital doors for the first time and start acquiring practical experience. The acquisition of such experience includes much more than the development of sensorimotor skills and basic knowledge of sciences. It relies on effective reason, decision making, and communication shared by all health professionals, including physicians, nurses, dentists, pharmacists, and administrators. How to Think in Medicine, Reasoning, Decision Making, and Communications in Health Sciences is about these essential skills. It describes how physicians and health professionals reason, make decision, and practice medicine. Covering the basic considerations related to clinical and caregiver reasoning, it lays out a roadmap to help those new to health care as well as seasoned veterans overcome the complexities of working for the well-being of those who trust us with their physical and mental health. This book provides a step-by-step breakdown of the reasoning process for clinical work and clinical care. It examines both the general and medical ways of thinking, reasoning, argumentation, fact finding, and using evidence. It explores the principles of formal logic as applied to clinical problems and the use of evidence in logical reasoning. In addition to outline the fundamentals of decision making, it integrates coverage of clinical reasoning risk assessment, diagnosis, treatment, and prognosis in evidence-based medicine. Presented in four sections, this book discusses the history and position of the problem and the challenge of medical thinking; provides the philosophy interfacing topics of interest for health sciences professionals including the probabilities, uncertainties, risks, and other quantifications in health by steps of clinical work; decision making in clinical and community health care, research, and practice; Communication in clinical and community care including how to write medical articles, clinical case studies and case reporting, and oral and written communication in clinical and community practice and care.
Epidemiology By Design
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Author : Daniel Westreich
language : en
Publisher: Oxford University Press
Release Date : 2019-10-16
Epidemiology By Design written by Daniel Westreich and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-16 with Medical categories.
A (LONG OVERDUE) CAUSAL APPROACH TO INTRODUCTORY EPIDEMIOLOGY Epidemiology is recognized as the science of public health, evidence-based medicine, and comparative effectiveness research. Causal inference is the theoretical foundation underlying all of the above. No introduction to epidemiology is complete without extensive discussion of causal inference; what's missing is a textbook that takes such an approach. Epidemiology by Design takes a causal approach to the foundations of traditional introductory epidemiology. Through an organizing principle of study designs, it teaches epidemiology through modern causal inference approaches, including potential outcomes, counterfactuals, and causal identification conditions. Coverage in this textbook includes: · Introduction to measures of prevalence and incidence (survival curves, risks, rates, odds) and measures of contrast (differences, ratios); the fundamentals of causal inference; and principles of diagnostic testing, screening, and surveillance · Description of three key study designs through the lens of causal inference: randomized trials, prospective observational cohort studies, and case-control studies · Discussion of internal validity (within a sample), external validity, and population impact: the foundations of an epidemiologic approach to implementation science For first-year graduate students and advanced undergraduates in epidemiology and public health fields more broadly, Epidemiology by Design offers a rigorous foundation in epidemiologic methods and an introduction to methods and thinking in causal inference. This new textbook will serve as a foundation not just for further study of the field, but as a head start on where the field is going.
Causality In The Sciences
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Author : Phyllis McKay Illari
language : en
Publisher: Oxford University Press
Release Date : 2011-03-17
Causality In The Sciences written by Phyllis McKay Illari and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-17 with Mathematics categories.
Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
Causality
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Author : Phyllis Illari
language : en
Publisher: OUP Oxford
Release Date : 2014-10-02
Causality written by Phyllis Illari and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-02 with Mathematics categories.
Head hits cause brain damage - but not always. Should we ban sport to protect athletes? Exposure to electromagnetic fields is strongly associated with cancer development - does that mean exposure causes cancer? Should we encourage old fashioned communication instead of mobile phones to reduce cancer rates? According to popular wisdom, the Mediterranean diet keeps you healthy. Is this belief scientifically sound? Should public health bodies encourage consumption of fresh fruit and vegetables? Severe financial constraints on research and public policy, media pressure, and public anxiety make such questions of immense current concern not just to philosophers but to scientists, governments, public bodies, and the general public. In the last decade there has been an explosion of theorizing about causality in philosophy, and also in the sciences. This literature is both fascinating and important, but it is involved and highly technical. This makes it inaccessible to many who would like to use it, philosophers and scientists alike. This book is an introduction to philosophy of causality - one that is highly accessible: to scientists unacquainted with philosophy, to philosophers unacquainted with science, and to anyone else lost in the labyrinth of philosophical theories of causality. It presents key philosophical accounts, concepts and methods, using examples from the sciences to show how to apply philosophical debates to scientific problems.