Correlation versus causation in health-related Big Data analysis: The role of reason and regulation

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	American English
Title of host publication	Big Data, Health Law, and Bioethics
Publisher	Cambridge University Press
Pages	42-55
Number of pages	14
ISBN (Electronic)	9781108147972
ISBN (Print)	9781107193659
DOIs	https://doi.org/10.1017/9781108147972.005
State	Published - 8 Mar 2018

All Science Journal Classification (ASJC) codes

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title = "Correlation versus causation in health-related Big Data analysis: The role of reason and regulation",

author = "Zarsky, {Tal Z.}",

year = "2018",

month = mar,

day = "8",

doi = "https://doi.org/10.1017/9781108147972.005",

language = "American English",

isbn = "9781107193659",

pages = "42--55",

booktitle = "Big Data, Health Law, and Bioethics",

publisher = "Cambridge University Press",

address = "United Kingdom",

}

TY - CHAP

T1 - Correlation versus causation in health-related Big Data analysis

T2 - The role of reason and regulation

AU - Zarsky, Tal Z.

PY - 2018/3/8

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U2 - https://doi.org/10.1017/9781108147972.005

DO - https://doi.org/10.1017/9781108147972.005

M3 - Chapter

SN - 9781107193659

SP - 42

EP - 55

BT - Big Data, Health Law, and Bioethics

PB - Cambridge University Press

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