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Viewpoint: taking into account risks of random errors when analysing multiple outcomes in systematic reviews

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Viewpoint: taking into account risks of random errors when analysing multiple outcomes in systematic reviews (English)

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Jørn Wetterslev

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2

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Janus C Jakobsen

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Janus C Jakobsen

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Theis Lange

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Theis Lange

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publication date

18 March 2016

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published in

Cochrane Database of Systematic Reviews

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cites work

Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods

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Statistical multiplicity in systematic reviews of anaesthesia interventions: a quantification and comparison between Cochrane and non-Cochrane reviews

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The thresholds for statistical and clinical significance - a five-step procedure for evaluation of intervention effects in randomised clinical trials

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Meta-analysis of clinical trial safety data in a drug development program: answers to frequently asked questions

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Attention should be given to multiplicity issues in systematic reviews

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Estimating required information size by quantifying diversity in random-effects model meta-analyses.

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Teaching hypothesis tests--time for significant change?

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Why the P-value culture is bad and confidence intervals a better alternative

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The COMET (Core Outcome Measures in Effectiveness Trials) Initiative

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The need for large-scale randomized evidence without undue emphasis on small trials, meta-analyses, or subgroup analyses

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Discordance between meta-analyses and large-scale randomized, controlled trials. Examples from the management of acute myocardial infarction

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An investigation of two multivariate permutation methods for controlling the false discovery proportion

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7 January 2021

based on heuristic

inferred from DOI database lookup

How to obtain the confidence interval from a P value

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based on heuristic

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Obtaining evidence by a single well-powered trial or several modestly powered trials

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based on heuristic

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DOI

10.1002/14651858.ED000111

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PubMed publication ID

27030037

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(Q24185986)

Viewpoint: taking into account risks of random errors when analysing multiple outcomes in systematic reviews

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