Literature DB >> 33491283

Technical bias and the reproducibility crisis: The problem of systemic errors resulting from artefacts of equipment, methods or dataset has been underappreciated.

Philip Hunter1.   

Abstract

Technical bias can cause lack of reproducibility. While harder to identify than other bias, it can cause consistent systemic errors in experimental data and analysis.
© 2021 The Author.

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Year:  2021        PMID： 33491283      PMCID： PMC7857423          DOI： 10.15252/embr.202052327

Source DB:  PubMed          Journal:  EMBO Rep        ISSN： 1469-221X            Impact factor:   8.807


  4 in total

1.  Scientific rigor and the art of motorcycle maintenance.

Authors:  Marcus Munafò; Simon Noble; William J Browne; Dani Brunner; Katherine Button; Joaquim Ferreira; Peter Holmans; Douglas Langbehn; Glyn Lewis; Martin Lindquist; Kate Tilling; Eric-Jan Wagenmakers; Robi Blumenstein
Journal:  Nat Biotechnol       Date:  2014-09       Impact factor: 54.908

2.  Technical bias and the reproducibility crisis: The problem of systemic errors resulting from artefacts of equipment, methods or dataset has been underappreciated.

Authors:  Philip Hunter
Journal:  EMBO Rep       Date:  2021-01-25       Impact factor: 8.807

3.  Recurrent functional misinterpretation of RNA-seq data caused by sample-specific gene length bias.

Authors:  Shir Mandelboum; Zohar Manber; Orna Elroy-Stein; Ran Elkon
Journal:  PLoS Biol       Date:  2019-11-12       Impact factor: 8.029

4.  Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.

Authors:  Stephanie A Harmon; Thomas H Sanford; Sheng Xu; Evrim B Turkbey; Holger Roth; Ziyue Xu; Dong Yang; Andriy Myronenko; Victoria Anderson; Amel Amalou; Maxime Blain; Michael Kassin; Dilara Long; Nicole Varble; Stephanie M Walker; Ulas Bagci; Anna Maria Ierardi; Elvira Stellato; Guido Giovanni Plensich; Giuseppe Franceschelli; Cristiano Girlando; Giovanni Irmici; Dominic Labella; Dima Hammoud; Ashkan Malayeri; Elizabeth Jones; Ronald M Summers; Peter L Choyke; Daguang Xu; Mona Flores; Kaku Tamura; Hirofumi Obinata; Hitoshi Mori; Francesca Patella; Maurizio Cariati; Gianpaolo Carrafiello; Peng An; Bradford J Wood; Baris Turkbey
Journal:  Nat Commun       Date:  2020-08-14       Impact factor: 14.919
  4 in total
  2 in total

1.  Technical bias and the reproducibility crisis: The problem of systemic errors resulting from artefacts of equipment, methods or dataset has been underappreciated.

Authors:  Philip Hunter
Journal:  EMBO Rep       Date:  2021-01-25       Impact factor: 8.807

2.  The Agricultural Green Production following the Technological Progress: Evidence from China.

Authors:  Shuxing Xiao; Zuxin He; Weikun Zhang; Xiaoming Qin
Journal:  Int J Environ Res Public Health       Date:  2022-08-10       Impact factor: 4.614
  2 in total

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