Hidden Bibliographic Details
| Other authors / contributors: | Smart, Benjamin (Senior lecturer), author.
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| ISBN: | 9783319963075
3319963074
9783319963068
3319963066
9783319963068
9783319963082
3319963082
9783030071745
303007174X
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| Digital file characteristics: | text file PDF
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| Notes: | Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed November 15, 2018).
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| Summary: | 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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| Other form: | Printed edition: 9783319963068
Printed edition: 9783319963082
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| Standard no.: | 10.1007/978-3-319-96307-5
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