Literature DB >> 3189634

Evidence and scientific research.

S N Goodman1, R Royall.   

Abstract

This commentary reviews the arguments for and against the use of p-values put forward in the Journal and other forums, and shows that they are all missing both a measure and concept of "evidence." The mathematics and logic of evidential theory are presented, with the log-likelihood ratio used as the measure of evidence. The profoundly different philosophy behind evidential methods (as compared to traditional ones) is presented, as well as a comparative example showing the difference between the two approaches. The reasons why we mistakenly ascribe evidential meaning to p-values and related measures are discussed. Unfamiliarity with the technology and philosophy of evidence is seen as the main reason why certain arguments about p-values persist, and why they are frequently contradictory and confusing.

Mesh:

Year:  1988        PMID: 3189634      PMCID: PMC1349737          DOI: 10.2105/ajph.78.12.1568

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  3 in total

1.  Statistical criteria in the interpretation of epidemiologic data.

Authors:  W D Thompson
Journal:  Am J Public Health       Date:  1987-02       Impact factor: 9.308

2.  Beyond the confidence interval.

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

3.  Reporting the results of epidemiologic studies.

Authors:  A M Walker
Journal:  Am J Public Health       Date:  1986-05       Impact factor: 9.308

  3 in total
  23 in total

1.  A step and a hop on the Müller-Lyer: illusion effects on lower-limb movements.

Authors:  Scott Glover; Peter Dixon
Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

2.  Grasping the meaning of words.

Authors:  Scott Glover; David A Rosenbaum; Jeremy Graham; Peter Dixon
Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

3.  Likelihood ratios: a simple and flexible statistic for empirical psychologists.

Authors:  Scott Glover; Peter Dixon
Journal:  Psychon Bull Rev       Date:  2004-10

4.  Effects of an orientation illusion on motor performance and motor imagery.

Authors:  Scott Glover; Peter Dixon; Umberto Castiello; Matthew F S Rushworth
Journal:  Exp Brain Res       Date:  2005-08-05       Impact factor: 1.972

5.  The statistical analysis of immunohaematological data.

Authors:  Roberto Reverberi
Journal:  Blood Transfus       Date:  2008-01       Impact factor: 3.443

Review 6.  What's wrong with Bonferroni adjustments.

Authors:  T V Perneger
Journal:  BMJ       Date:  1998-04-18

7.  Statistics in the journal--significance, confidence, and all that.

Authors:  M E Northridge; B Levin; M Feinleib; M W Susser
Journal:  Am J Public Health       Date:  1997-07       Impact factor: 9.308

8.  Integers do not automatically activate their quantity representation.

Authors:  Dale J Cohen
Journal:  Psychon Bull Rev       Date:  2009-04

9.  Physician breach of patient confidentiality among individuals with human immunodeficiency virus (HIV) infection: patterns of decision.

Authors:  J A Schwartzbaum; J R Wheat; R W Norton
Journal:  Am J Public Health       Date:  1990-07       Impact factor: 9.308

10.  The null hypothesis significance test in health sciences research (1995-2006): statistical analysis and interpretation.

Authors:  Luis Carlos Silva-Ayçaguer; Patricio Suárez-Gil; Ana Fernández-Somoano
Journal:  BMC Med Res Methodol       Date:  2010-05-19       Impact factor: 4.615

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