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Learning from the past to develop data analysis curricula for the future

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  • Tracey L Weissgerber

Abstract

Problems with statistical analyses and the shift toward big data have prompted many researchers to call for improvements in statistics education. A recent study in PLOS Biology assesses changes in the use of data analysis techniques over time to determine which skills young scientists might need.Problems with statistical analyses and the shift towards big data have prompted many researchers to call for improvements in statistics education. This Primer explores a recent study in PLOS Biology that assesses changes in the use of data analysis techniques over time to determine which skills young scientists might need.

Suggested Citation

  • Tracey L Weissgerber, 2021. "Learning from the past to develop data analysis curricula for the future," PLOS Biology, Public Library of Science, vol. 19(7), pages 1-3, July.
  • Handle: RePEc:plo:pbio00:3001343
    DOI: 10.1371/journal.pbio.3001343
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    References listed on IDEAS

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    1. Megan L Head & Luke Holman & Rob Lanfear & Andrew T Kahn & Michael D Jennions, 2015. "The Extent and Consequences of P-Hacking in Science," PLOS Biology, Public Library of Science, vol. 13(3), pages 1-15, March.
    2. Tracey L Weissgerber & Vesna D Garovic & Jelena S Milin-Lazovic & Stacey J Winham & Zoran Obradovic & Jerome P Trzeciakowski & Natasa M Milic, 2016. "Reinventing Biostatistics Education for Basic Scientists," PLOS Biology, Public Library of Science, vol. 14(4), pages 1-12, April.
    3. Constance Holman & Sophie K Piper & Ulrike Grittner & Andreas Antonios Diamantaras & Jonathan Kimmelman & Bob Siegerink & Ulrich Dirnagl, 2016. "Where Have All the Rodents Gone? The Effects of Attrition in Experimental Research on Cancer and Stroke," PLOS Biology, Public Library of Science, vol. 14(1), pages 1-12, January.
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    1. Diana Lungeanu & Alina Petrica & Raluca Lupusoru & Adina Maria Marza & Ovidiu Alexandru Mederle & Bogdan Timar, 2022. "Beyond the Digital Competencies of Medical Students: Concerns over Integrating Data Science Basics into the Medical Curriculum," IJERPH, MDPI, vol. 19(23), pages 1-11, November.

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