Practical data considerations for the modern epidemiology student

As an inherent part of epidemiologic research, practical decisions made during data collection and analysis have the potential to impact the measurement of disease occurrence as well as statistical and causal inference from the results. However, the computational skills needed to collect, manipulate...

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Autores principales:	Nguyen K. Tran, Timothy L. Lash, Neal D. Goldstein
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Data science Epidemiology Biostatistics Causal inference Education and training Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/09a5a585769e422faaf5f7a9b516efef
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id	oai:doaj.org-article:09a5a585769e422faaf5f7a9b516efef
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spelling	oai:doaj.org-article:09a5a585769e422faaf5f7a9b516efef2021-11-22T04:29:30ZPractical data considerations for the modern epidemiology student2590-113310.1016/j.gloepi.2021.100066https://doaj.org/article/09a5a585769e422faaf5f7a9b516efef2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590113321000201https://doaj.org/toc/2590-1133As an inherent part of epidemiologic research, practical decisions made during data collection and analysis have the potential to impact the measurement of disease occurrence as well as statistical and causal inference from the results. However, the computational skills needed to collect, manipulate, and evaluate data have not always been a focus of educational programs, and the increasing interest in “data science” suggest that data literacy has become paramount to ensure valid estimation. In this article, we first motivate such practical concerns for the modern epidemiology student, particularly as it relates to challenges in causal inference; second, we discuss how such concerns may be manifested in typical epidemiological analyses and identify the potential for bias; third, we present a case study that exemplifies the entire process; and finally, we draw attention to resources that can help epidemiology students connect the theoretical underpinning of the science to the practical considerations as described herein.Nguyen K. TranTimothy L. LashNeal D. GoldsteinElsevierarticleData scienceEpidemiologyBiostatisticsCausal inferenceEducation and trainingInfectious and parasitic diseasesRC109-216ENGlobal Epidemiology, Vol 3, Iss , Pp 100066- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Data science Epidemiology Biostatistics Causal inference Education and training Infectious and parasitic diseases RC109-216
spellingShingle	Data science Epidemiology Biostatistics Causal inference Education and training Infectious and parasitic diseases RC109-216 Nguyen K. Tran Timothy L. Lash Neal D. Goldstein Practical data considerations for the modern epidemiology student
description	As an inherent part of epidemiologic research, practical decisions made during data collection and analysis have the potential to impact the measurement of disease occurrence as well as statistical and causal inference from the results. However, the computational skills needed to collect, manipulate, and evaluate data have not always been a focus of educational programs, and the increasing interest in “data science” suggest that data literacy has become paramount to ensure valid estimation. In this article, we first motivate such practical concerns for the modern epidemiology student, particularly as it relates to challenges in causal inference; second, we discuss how such concerns may be manifested in typical epidemiological analyses and identify the potential for bias; third, we present a case study that exemplifies the entire process; and finally, we draw attention to resources that can help epidemiology students connect the theoretical underpinning of the science to the practical considerations as described herein.
format	article
author	Nguyen K. Tran Timothy L. Lash Neal D. Goldstein
author_facet	Nguyen K. Tran Timothy L. Lash Neal D. Goldstein
author_sort	Nguyen K. Tran
title	Practical data considerations for the modern epidemiology student
title_short	Practical data considerations for the modern epidemiology student
title_full	Practical data considerations for the modern epidemiology student
title_fullStr	Practical data considerations for the modern epidemiology student
title_full_unstemmed	Practical data considerations for the modern epidemiology student
title_sort	practical data considerations for the modern epidemiology student
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/09a5a585769e422faaf5f7a9b516efef
work_keys_str_mv	AT nguyenktran practicaldataconsiderationsforthemodernepidemiologystudent AT timothyllash practicaldataconsiderationsforthemodernepidemiologystudent AT nealdgoldstein practicaldataconsiderationsforthemodernepidemiologystudent
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Practical data considerations for the modern epidemiology student

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