Literature DB >> 33907664

The replication crisis in epidemiology: snowball, snow job, or winter solstice?

Timothy L Lash1, Lindsay J Collin1, Miriam E Van Dyke1.   

Abstract

PURPOSE OF REVIEW: Like a snowball rolling down a steep hill, the most recent crisis over the perceived lack of reproducibility of scientific results has outpaced the evidence of crisis. It has led to new actions and new guidelines that have been rushed to market without plans for evaluation, metrics for success, or due consideration of the potential for unintended consequences. RECENT
FINDINGS: The perception of the crisis is at least partly a snow job, heavily influenced by a small number of centers lavishly funded by a single foundation, with undue and unsupported attention to preregistration as a solution to the perceived crisis. At the same time, the perception of crisis provides an opportunity for introspection. Two studies' estimates of association may differ because of undue attention on null hypothesis statistical testing, because of differences in the distribution of effect modifiers, because of differential susceptibility to threats to validity, or for other reasons. Perhaps the expectation of what reproducible epidemiology ought to look like is more misguided than the practice of epidemiology. We advocate for the idea of "replication and advancement." Studies should not only replicate earlier work, but also improve on it in by enhancing the design or analysis.
SUMMARY: Abandoning blind reliance on null hypothesis significance testing for statistical inference, finding consensus on when pre-registration of non-randomized study protocols has merit, and focusing on replication and advance are the most certain ways to emerge from this solstice for the better.

Entities:  

Keywords:  Epidemiologic Methods; Reproducibility of Results

Year:  2018        PMID: 33907664      PMCID: PMC8075285          DOI: 10.1007/s40471-018-0148-x

Source DB:  PubMed          Journal:  Curr Epidemiol Rep


  70 in total

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4.  Should preregistration of epidemiologic study protocols become compulsory? Reflections and a counterproposal.

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5.  The false-positive to false-negative ratio in epidemiologic studies.

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Journal:  Epidemiology       Date:  2011-07       Impact factor: 4.822

6.  Too good to be true: when overwhelming evidence fails to convince.

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Journal:  Proc Math Phys Eng Sci       Date:  2016-03       Impact factor: 2.704

7.  A measure to aid in the interpretation of published clinical trials.

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Journal:  Stat Med       Date:  1985 Jan-Mar       Impact factor: 2.373

Review 8.  Chrysotile asbestos as a cause of mesothelioma: application of the Hill causation model.

Authors:  Richard A Lemen
Journal:  Int J Occup Environ Health       Date:  2004 Apr-Jun

9.  Why most published research findings are false: problems in the analysis.

Authors:  Steven Goodman; Sander Greenland
Journal:  PLoS Med       Date:  2007-04       Impact factor: 11.069

10.  Common misconceptions about data analysis and statistics.

Authors:  Harvey J Motulsky
Journal:  Pharmacol Res Perspect       Date:  2014-12-02
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  1 in total

Review 1.  Assessing the Robustness of Mediation Analysis Results Using Multiverse Analysis.

Authors:  Judith J M Rijnhart; Jos W R Twisk; Dorly J H Deeg; Martijn W Heymans
Journal:  Prev Sci       Date:  2021-07-16
  1 in total

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