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Causation in Population Health Informatics and Data Science

Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 9th Nov 2018
Dimensions: w 155mm h 235mm
Weight: 454g
ISBN-10: 3319963066
ISBN-13: 9783319963068
Barcode No: 9783319963068
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Synopsis
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.

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