Invited Commentary: Code Review—An Important Step Toward Reproducible Research

Author:

Platt Robert W

Abstract

Abstract In this issue of the Journal, Vable et al. (Am J Epidemiol. 2021;190(10):2172–2177) discuss a systematic approach to code review as a way to improve reproducibility in epidemiologic research. Reproducibility needs to become a cornerstone of our work. In the present commentary, I discuss some of the implications of their proposal, other methods to reduce coding mistakes, and other methods to improve reproducibility in research in general. Finally, I discuss the fact that no one of these approaches is sufficient on its own; rather, these different steps need to become part of a culture that prioritizes reproducibility in research.

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

Reference15 articles.

1. Reproducibility: a tragedy of errors;Allison;Nature,2016

2. Growth in a time of debt;Reinhart;Am Econ Rev,2010

3. Code review as a simple trick to enhance reproducibility, accelerate learning, and improve the quality of your team’s research;Vable;Am J Epidemiol,2021

4. Policy: NIH plans to enhance reproducibility;Collins;Nature,2014

5. A statistical definition for reproducibility and replicability [preprint];Patil,2016

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