Literature DB >> 24149186

Empirical evidence for low reproducibility indicates low pre-study odds.

Katherine S Button1, John P A Ioannidis, Claire Mokrysz, Brian A Nosek, Jonathan Flint, Emma S J Robinson, Marcus R Munafò.   

Abstract

Mesh：

Year:  2013        PMID： 24149186     DOI： 10.1038/nrn3475-c6

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN： 1471-003X            Impact factor:   34.870


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  6 in total

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Review 4.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

5.  Medical research: Trial unpredictability yields predictable therapy gains.

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6.  A survey on data reproducibility in cancer research provides insights into our limited ability to translate findings from the laboratory to the clinic.

Authors:  Aaron Mobley; Suzanne K Linder; Russell Braeuer; Lee M Ellis; Leonard Zwelling
Journal:  PLoS One       Date:  2013-05-15       Impact factor: 3.240
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2.  Resting-state test-retest reliability of a priori defined canonical networks over different preprocessing steps.

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Journal:  Brain Struct Funct       Date:  2016-08-22       Impact factor: 3.270

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Review 4.  Statistical and Methodological Considerations for the Interpretation of Intranasal Oxytocin Studies.

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Review 6.  The neurobiology of emotion-cognition interactions: fundamental questions and strategies for future research.

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