Literature DB >> 21886421

Five per cent of the time it works 100 per cent of the time: the erroneousness of the P value.

Chad Cook1.   

Abstract

Year:  2010        PMID: 21886421      PMCID: PMC3109681          DOI: 10.1179/106698110X12640740712257

Source DB:  PubMed          Journal:  J Man Manip Ther        ISSN: 1066-9817


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  16 in total

Review 1.  Sifting the evidence-what's wrong with significance tests?

Authors:  J A Sterne; G Davey Smith
Journal:  BMJ       Date:  2001-01-27

Review 2.  Statistics in medical journals: some recent trends.

Authors:  D G Altman
Journal:  Stat Med       Date:  2000-12-15       Impact factor: 2.373

3.  A sensible formulation of the significance test.

Authors:  L V Jones; J W Tukey
Journal:  Psychol Methods       Date:  2000-12

4.  The p-value fallacy and how to avoid it.

Authors:  Peter Dixon
Journal:  Can J Exp Psychol       Date:  2003-09

5.  A comment on replication, p-values and evidence.

Authors:  S N Goodman
Journal:  Stat Med       Date:  1992-05       Impact factor: 2.373

6.  "Significant-itis"--an obsession with the P-value.

Authors:  K S Chia
Journal:  Scand J Work Environ Health       Date:  1997-04       Impact factor: 5.024

7.  Confidence intervals rather than P values: estimation rather than hypothesis testing.

Authors:  M J Gardner; D G Altman
Journal:  Br Med J (Clin Res Ed)       Date:  1986-03-15

8.  Beyond the confidence interval.

Authors:  C Poole
Journal:  Am J Public Health       Date:  1987-02       Impact factor: 9.308

Review 9.  Is statistical significance testing useful in interpreting data?

Authors:  D A Savitz
Journal:  Reprod Toxicol       Date:  1993       Impact factor: 3.143

10.  Statistical significance tests.

Authors:  D R Cox
Journal:  Br J Clin Pharmacol       Date:  1982-09       Impact factor: 4.335

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