Causation in Population Health Informatics and Data Science

• Main Authors: Dammann, Olaf (Author, http://id.loc.gov/vocabulary/relators/aut), Smart, Benjamin (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Health informatics.; Logic.; Epidemiology.; Health Informatics.

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 th...

Table of Contents:

• Introduction
• Data Interpretation
• Data Generation
• Informatics
• Philosophy
• Causal inference
• Knowledge Integration
• Systems Thinking
• Summary and conclusion.