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June 21, 2021SHILAP Revista de lepidopterologíaOpen Access

A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses

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Authors

HSHeidi SeiboldSCSeverin CzernySDSiona Decke

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Overview

Randomized trial investigates reproducibility of longitudinal data analyses in PLOS ONE articles, implying a need for open code policies.

Key Points

  • The aim is to assess the reproducibility of longitudinal data analyses from PLOS ONE articles.
  • Analyzed 11 PLOS ONE articles based on data availability and author consent.
  • Evaluated methods and software used for longitudinal data analyses.
  • Contacted authors when necessary to reproduce results.
  • Three articles could not be reproduced, two had partial reproduction success.
  • Only one article provided open source software and analysis code.
  • Contact with authors was necessary for all but two articles to reproduce results.

Cite This Study

Seibold et al. (2021) studied this question.

synapsesocial.com/papers/69dc384e4f901957bec0fd7dhttps://doi.org/10.1371/journal.pone.0251194
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