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. 2021 Nov:3:100066.
doi: 10.1016/j.gloepi.2021.100066. Epub 2021 Nov 19.

Practical data considerations for the modern epidemiology student

Nguyen K Tran  1 , Timothy L Lash  2 , Neal D Goldstein  1
Affiliations

Practical data considerations for the modern epidemiology student

Nguyen K Tran et al. Glob Epidemiol. 2021 Nov.

Abstract

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.

Keywords: Biostatistics; Causal inference; Data science; Education and training; Epidemiology.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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