Causation in Population Health Informatics and Data Science

$38.90

Download Now

1mb PDF file
Secure, instant download

Sold by ledsin on Tradebit
The world's largest download marketplace
3,252,412 satisfied buyers

Causation in Population Health Informatics and Data Science

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.

Publisher: Springer
Language: English
ISBN-10: 3319963066
ISBN-13: 978-3319963068

File Data

This file is sold by ledsin, an independent seller on Tradebit.

Contact ledsin More Files from ledsin

File Size	1 megabytes
File Type	PDF

Our Reviews