Too much statistical power can lead to false conclusions: a response to ‘Unsuitability of the epidemiological approach to bicycle transportation injuries and traffic engineering problems’ by Kary-Reference-Cited by-同舟云学术

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Too much statistical power can lead to false conclusions: a response to ‘Unsuitability of the epidemiological approach to bicycle transportation injuries and traffic engineering problems’ by Kary

Published:2014-10-30 Issue:4 Volume:21 Page:289.1-289
ISSN:1353-8047
Container-title:Injury Prevention
language:en
Short-container-title:Inj Prev

Author:

Olivier Jake,Walter Scott R

Publisher

BMJ

Subject

Public Health, Environmental and Occupational Health

Reference5 articles.

1. Unsuitability of the epidemiological approach to bicycle transportation injuries and traffic engineering problems;Kary;Inj Prev,2015

2. Bicycle helmet wearing is not associated with close motor vehicle passing: a re-analysis of walker, 2007;Olivier;PLoS ONE,2013

3. Drivers overtaking bicyclists: Objective data on the effects of riding position, helmet use, vehicle type and apparent gender;Walker;Accid Anal Prev,2007

4. Fundamental misconceptions of safety and of statistics;Kary;PLoS ONE

5. A power primer;Cohen;Psychol Bull,1992

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1. A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopy;eLife;2018-08-09

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