When data generate populations-Reference-Cited by-同舟云学术

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When data generate populations

Published:2023-12-12 Issue: Volume: Page:
ISSN:0300-5771
Container-title:International Journal of Epidemiology
language:en
Short-container-title:

Author:

Chiolero Arnaud¹²³,Carmeli Cristian¹^ORCID

Affiliation:

1. Population Health Laboratory (#PopHealthLab), University of Fribourg , Fribourg, Switzerland

2. Institute of Primary Health Care (BIHAM), University of Bern , Bern, Switzerland

3. School of Population and Global Health, McGill University , Montreal, QC, Canada

Funder

Swiss National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

Link

https://academic.oup.com/ije/advance-article-pdf/doi/10.1093/ije/dyad166/54359217/dyad166.pdf

Reference10 articles.

1. Co-evolution of epidemiology and artificial intelligence: challenges and opportunities;Sung;Int J Epidemiol,2023

2. A second chance to get causal inference right: a classification of data science tasks;Hernán;Chance,2019

3. An argument for a consequentialist epidemiology;Galea;Am J Epidemiol,2013

4. Post-modern epidemiology: back to the populations;Chiolero;Epidemiologia (Basel),2020

5. A review of generalizability and transportability;Degtiar;Annu Rev Stat Appl,2023

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