Causation In Population Health Informatics And Data Science

Author : Olaf Dammann
Publisher : Springer
ISBN 13 : 3319963074
Total Pages : 134 pages
Book Rating : 4.75/5 ( download)

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Download or read book Causation in Population Health Informatics and Data Science written by Olaf Dammann and published by Springer. This book was released on 2018-10-29 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Olaf Dammann
Publisher :
ISBN 13 : 9783319963082
Total Pages : 134 pages
Book Rating : 4.82/5 ( download)

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Download or read book Causation in Population Health Informatics and Data Science written by Olaf Dammann and published by . This book was released on 2019 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Jonathan Sholl
Publisher : Springer Nature
ISBN 13 : 3030526631
Total Pages : 551 pages
Book Rating : 4.34/5 ( download)

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Download or read book Explaining Health Across the Sciences written by Jonathan Sholl and published by Springer Nature. This book was released on 2020-08-28 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume aims to better understand the multifaceted phenomenon we call health. Going beyond simple views of health as the absence of disease or as complete well-being, this book unites scientists and philosophers. The contributions clarify the links between health and adaptation, robustness, resilience, or dynamic homeostasis, and discuss how to achieve health and healthy aging through practices such as hormesis. The book is divided into three parts and a conclusion: the first part explains health from within specific disciplines, the second part explores health from the perspective of a bodily part, system, function, or even the environment in which organisms live, and the final part looks at more clinical or practical perspectives. It thereby gathers, across 30 chapters, diverse perspectives from the broad fields of evolutionary and systems biology, immunology, and biogerontology, more specific areas such as odontology, cardiology, neurology, and public health, as well as philosophical reflections on mental health, sexuality, authenticity and medical theories. The overarching aim is to inform, inspire and encourage intellectuals from various disciplines to assess whether explanations in these disparate fields and across biological levels can be sufficiently systematized and unified to clarify the complexity of health. It will be particularly useful for medical graduates, philosophy graduates and research professionals in the life sciences and general medicine, as well as for upper-level graduate philosophy of science students.

Author : Joshi
Publisher : Jones & Bartlett Learning
ISBN 13 : 1284153274
Total Pages : 426 pages
Book Rating : 4.79/5 ( download)

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Download or read book Population Health Informatics written by Joshi and published by Jones & Bartlett Learning. This book was released on 2017-09-26 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Population Health Informatics addresses the growing opportunity to utilize technology to put into practice evidence-based solutions to improve population health outcomes across diverse settings. The book focuses on how to operationalize population informatics solutions to address important public health challenges impacting individuals, families, communities, and the environment in which they live. The book uniquely uses a practical, step-by-step approach to implement evidence-based, data- driven population informatics solutions.

Author : Maria Lasonen-Aarnio
Publisher : Taylor & Francis
ISBN 13 : 1317373901
Total Pages : 562 pages
Book Rating : 4.02/5 ( download)

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Download or read book The Routledge Handbook of the Philosophy of Evidence written by Maria Lasonen-Aarnio and published by Taylor & Francis. This book was released on 2023-12-19 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: What one can know depends on one’s evidence. Good scientific theories are supported by evidence. Our experiences provide us with evidence. Any sort of inquiry involves the seeking of evidence. It is irrational to believe contrary to your evidence. For these reasons and more, evidence is one of the most fundamental notions in the field of epistemology and is emerging as a crucial topic across academic disciplines. The Routledge Handbook of the Philosophy of Evidence is an outstanding reference source to the key topics, problems, and debates in this exciting subject and is the first major volume of its kind. Comprising forty chapters by an international team of contributors the handbook is divided into six clear parts: The Nature of Evidence Evidence and Probability The Social Epistemology of Evidence Sources of Evidence Evidence and Justification Evidence in the Disciplines The Routledge Handbook of the Philosophy of Evidence is essential reading for students and researchers in philosophy of science and epistemology, and will also be of interest to those in related disciplines across the humanities and social sciences, such as law, religion, and history.

Author : Douglas Faries
Publisher : SAS Institute
ISBN 13 : 164295800X
Total Pages : 454 pages
Book Rating : 4.03/5 ( download)

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Download or read book Real World Health Care Data Analysis written by Douglas Faries and published by SAS Institute. This book was released on 2020-01-15 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient. The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding

Author : Kevin McCain
Publisher : Routledge
ISBN 13 : 1351336614
Total Pages : 314 pages
Book Rating : 4.11/5 ( download)

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Download or read book What is Scientific Knowledge? written by Kevin McCain and published by Routledge. This book was released on 2019-06-11 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Scientific Knowledge? is a much-needed collection of introductory-level chapters on the epistemology of science. Renowned historians, philosophers, science educators, and cognitive scientists have authored 19 original contributions specifically for this volume. The chapters, accessible for students in both philosophy and the sciences, serve as helpful introductions to the primary debates surrounding scientific knowledge. First-year undergraduates can readily understand the variety of discussions in the volume, and yet advanced students and scholars will encounter chapters rich enough to engage their many interests. The variety and coverage in this volume make it the perfect choice for the primary text in courses on scientific knowledge. It can also be used as a supplemental book in classes in epistemology, philosophy of science, and other related areas. Key features: * an accessible and comprehensive introduction to the epistemology of science for a wide variety of students (both undergraduate- and graduate-level) and researchers * written by an international team of senior researchers and the most promising junior scholars * addresses several questions that students and lay people interested in science may already have, including questions about how scientific knowledge is gained, its nature, and the challenges it faces.

Author : Martha L. Sylvia
Publisher : Jones & Bartlett Learning
ISBN 13 : 1284251101
Total Pages : 576 pages
Book Rating : 4.04/5 ( download)

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Download or read book Population Health Analytics written by Martha L. Sylvia and published by Jones & Bartlett Learning. This book was released on 2021-08-02 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the focus of the health care delivery system continues to move toward a coordinated and accountable system, there is an increasing need for a single resource that focuses on analytics for population health. Population Health Analytics addresses that need by providing detailed information and a “how to” guide for achieving population health analytics. Comprehensive, current, and practical, this logically organized text builds from understanding data sources, to contextualizing data, modeling data, and gleaning insights from that data, which is a natural progression for organizations in progressing to higher levels of analytic capabilities. Furthermore, these frameworks for the population health process and analytics are grounded in an evidence base that is also aligned with theories and processes used in healthcare disciplines. This first of its kind text will prepare students to improve health outcomes, understand patterns of health behavior and more.

Author : Patrick W. O'Carroll
Publisher : Springer Science & Business Media
ISBN 13 : 0387227458
Total Pages : 814 pages
Book Rating : 4.50/5 ( download)

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Download or read book Public Health Informatics and Information Systems written by Patrick W. O'Carroll and published by Springer Science & Business Media. This book was released on 2006-05-07 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let us not go over the old ground, let us rather prepare for what is to come. —Marcus Tullius Cicero Improvements in the health status of communities depend on effective public health and healthcare infrastructures. These infrastructures are increasingly electronic and tied to the Internet. Incorporating emerging technologies into the service of the community has become a required task for every public health leader. The revolution in information technology challenges every sector of the health enterprise. Individuals, care providers, and public health agencies can all benefit as we reshape public health through the adoption of new infor- tion systems, use of electronic methods for disease surveillance, and refor- tion of outmoded processes. However, realizing the benefits will be neither easy nor inexpensive. Technological innovation brings the promise of new ways of improving health. Individuals have become more involved in knowing about, and managing and improving, their own health through Internet access. Similarly, healthcare p- viders are transforming the ways in which they assess, treat, and document - tient care through their use of new technologies. For example, point-of-care and palm-type devices will soon be capable of uniquely identifying patients, s- porting patient care, and documenting treatment simply and efficiently.

Author : Judea Pearl
Publisher : John Wiley & Sons
ISBN 13 : 1119186862
Total Pages : 162 pages
Book Rating : 4.61/5 ( download)

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Download or read book Causal Inference in Statistics written by Judea Pearl and published by John Wiley & Sons. This book was released on 2016-01-25 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.