Reproducibility Paper Data: Data and analysis package for the draft manuscript that assesses reporting and reproducibility across a cohort of literature-based knee modeling studies. The package contains the raw data, which are the reviews performed by the KneeHub team members, and the corresponding statistical analysis.

Jason Halloran, Neda Abdollahi Nohouji, Mhd Ammar Hafez, Thor Besier, Snehal Chokhandre, Shady Elmasry, Donald Hume, Carl Imhauser, Nynke Rooks, Marco Schneider, Ariel Schwartz, Kevin Shelburne, William Zaylor & Ahmet Erdemir
Reproducible research serves as a pillar of the scientific method and is a foundation for scientific advancement. However, estimates for irreproducibility of preclinical science range from 75% to 90%. The importance of reproducible science has not been assessed in the context of mechanics-based modeling of human joints such as the knee, despite this being an area that has seen dramatic growth. Framed in the context of five experienced teams currently documenting knee modeling procedures, the...

Registration Year

  • 2022
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Resource Types

  • Dataset
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Affiliations

  • Cleveland State University
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  • University of Auckland
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  • Cleveland Clinic
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  • Hospital for Special Surgery
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  • University of Denver
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  • Washington State University
    1