K
Kenneth F. Schulz
Researcher at University of North Carolina at Chapel Hill
Publications - 237
Citations - 146992
Kenneth F. Schulz is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Randomized controlled trial & Consolidated Standards of Reporting Trials. The author has an hindex of 90, co-authored 234 publications receiving 122191 citations. Previous affiliations of Kenneth F. Schulz include Durham University & FHI 360.
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Journal Article
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement [in Spanish]
David Moher,Alessandro Liberati,Jennifer Tetzlaff,Douglas G. Altman,Gerd Antes,David C. Atkins,Virginia Barbour,N Barrowman,Jesse A. Berlin,J Clark,Mike Clarke,Deborah J. Cook,Roberto D'Amico,Jonathan J Deeks,Philip J. Devereaux,Kay Dickersin,M Egger,E Ernst,P C Gøtzsche,Jeremy M. Grimshaw,G Guyatt,Julian P T Higgins,Ioannidis Jpa.,Jos Kleijnen,Tom Lang,N Magrini,D McNamee,Lorenzo Moja,C Mulrow,M Napoli,Andrew D Oxman,B Pham,Drummond Rennie,Margaret Sampson,Kenneth F. Schulz,Paul G. Shekelle,David Tovey,Peter Tugwell +37 more
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The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials
Julian P T Higgins,Douglas G. Altman,Peter C Gøtzsche,Peter Jüni,David Moher,Andrew D Oxman,Jelena Savović,Kenneth F. Schulz,Laura Weeks,Jonathan A C Sterne +9 more
TL;DR: The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate.
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CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
TL;DR: The Consort 2010 Statement as discussed by the authors has been used worldwide to improve the reporting of randomised controlled trials and has been updated by Schulz et al. in 2010, based on new methodological evidence and accumulating experience.
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CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials
David Moher,Sally Hopewell,Kenneth F. Schulz,Victor M. Montori,Peter C Gøtzsche,Philip J. Devereaux,Diana Elbourne,Matthias Egger,Douglas G. Altman +8 more
TL;DR: This update of the CONSORT statement improves the wording and clarity of the previous checklist and incorporates recommendations related to topics that have only recently received recognition, such as selective outcome reporting bias.
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Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials.
TL;DR: Empirical evidence is provided that inadequate methodological approaches in controlled trials, particularly those representing poor allocation concealment, are associated with bias.