Reproducible research in statistics: A review and guidelines for the Biometrical Journal

Hofner B, Schmid M, Edler L (2016)

Publication Type: Journal article

Publication year: 2016

Journal

Biometrical Journal Wiley-VCH Verlag

Book Volume: 58

Pages Range: 416-27

Journal Issue: 2

DOI: 10.1002/bimj.201500156

Abstract

Reproducible research (RR) constitutes the idea that a publication should be accompanied by all relevant material to reproduce the results and findings of a scientific work. Hence, results can be verified and researchers are able to build upon these. Efforts of the Biometrical Journal over the last five years have increased the number of manuscripts which are reproducible by a factor of 4 to almost 50%. Yet, more than half of the code submission could not be executed in the initial review due to missing code, missing data or errors in the code. Careful checks of the submitted code as part of the reviewing process are essential to eliminate these issues and to foster RR. In this article, we reviewed n=56 recent submissions of code and data to identify common reproducibility issues. Based on these findings, guidelines for structuring code submission to the Biometrical Journal have been established to help authors. These guidelines should help researchers to implement RR in general. Together with the code reviews, this supports the mission of the Biometrical Journal in publishing highest quality, novel and relevant papers on statistical methods and their applications in life sciences. Source code and data to reproduce the presented data analyses are available as Supplementary Material on the journal's web page.

Authors with CRIS profile

Benjamin Hofner Lehrstuhl für Biometrie und Epidemiologie

Involved external institutions

Rheinische Friedrich-Wilhelms-Universität Bonn DE Germany (DE) Deutsches Krebsforschungszentrum (DKFZ) DE Germany (DE)

How to cite

APA:

Hofner, B., Schmid, M., & Edler, L. (2016). Reproducible research in statistics: A review and guidelines for the Biometrical Journal. Biometrical Journal, 58(2), 416-27. https://doi.org/10.1002/bimj.201500156

MLA:

Hofner, Benjamin, Matthias Schmid, and Lutz Edler. "Reproducible research in statistics: A review and guidelines for the Biometrical Journal." Biometrical Journal 58.2 (2016): 416-27.

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