Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature (Q36295168)

13 August 2017

Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature (English)

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13 August 2017

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cognitive neuroscience

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John P A Ioannidis

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Dénes Szucs

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Denes Szucs

series ordinal

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language of work or name

English

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publication date

2 March 2017

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13 August 2017

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13 August 2017

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13 August 2017

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13 August 2017

e2000797

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PMC publication ID

5333800

Creative Commons Attribution 4.0 International

13 August 2017

start time

2 March 2017

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April 2022 Public Data File from Crossref

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cites work

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Circular analysis in systems neuroscience: the dangers of double dipping

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Why Most Discovered True Associations Are Inflated

30 September 2017

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The seductive allure of neuroscience explanations

30 September 2017

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An exploratory test for an excess of significant findings

30 September 2017

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Why most published research findings are false

30 September 2017

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30 September 2017

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29 June 2018

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Effect size estimates: current use, calculations, and interpretation.

22 September 2018

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A practical solution to the pervasive problems of p values.

22 September 2018

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The replication paradox: Combining studies can decrease accuracy of effect size estimates

22 September 2018

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Calibration ofρValues for Testing Precise Null Hypotheses

21 January 2018

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21 January 2018

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Magnitude of effects in clinical trials published in high-impact general medical journals

21 January 2018

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Theory-Testing in Psychology and Physics: A Methodological Paradox

21 January 2018

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A survey of the statistical power of research in behavioral ecology and animal behavior

21 January 2018

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10.1371/JOURNAL.PBIO.2000797

21 January 2018

Identifiers

DOI

1 reference

13 August 2017

1 reference

PMC publication ID

5333800

13 August 2017

PubMed publication ID

28253258

1 reference

PMC publication ID

5333800