Literature DB >> 3117278

Towards a reduction in publication bias.

R G Newcombe1.   

Abstract

Current practice results in the publication of many research studies in medical and related disciplines which may be criticised on the grounds of inadequate sample size and statistical power. Small studies continue to be carried out with little more than a blind hope of showing the desired effect. Nevertheless, papers based on such work are submitted for publication, especially if the results turn out to be statistically significant. There is confusion about what makes a result suitable for publication. Often there is a preference for statistically significant results at the peer review stage. Consequently published reports of small studies tend to contain too many false positive results and to exaggerate the true effects. The use of a criterion of a posteriori power does not eliminate the bias; a priori power is the criterion of choice. This could be implemented by peer review of study protocols at the planning stage by funding bodies and journals.

Mesh:

Year:  1987        PMID: 3117278      PMCID: PMC1257777          DOI: 10.1136/bmj.295.6599.656

Source DB:  PubMed          Journal:  Br Med J (Clin Res Ed)        ISSN: 0267-0623


  5 in total

1.  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

2.  Use of check lists in assessing the statistical content of medical studies.

Authors:  M J Gardner; D Machin; M J Campbell
Journal:  Br Med J (Clin Res Ed)       Date:  1986-03-22

3.  The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial. Survey of 71 "negative" trials.

Authors:  J A Freiman; T C Chalmers; H Smith; R R Kuebler
Journal:  N Engl J Med       Date:  1978-09-28       Impact factor: 91.245

4.  Statistics and ethics in medical research: III How large a sample?

Authors:  D G Altman
Journal:  Br Med J       Date:  1980-11-15

5.  Statistical evaluation of medical journal manuscripts.

Authors:  S Schor; I Karten
Journal:  JAMA       Date:  1966-03-28       Impact factor: 56.272

  5 in total
  16 in total

1.  Statistics in brief: how to assess bias in clinical studies?

Authors:  Jerome Lambert
Journal:  Clin Orthop Relat Res       Date:  2011-06       Impact factor: 4.176

2.  Consistent pattern of elevated symptoms in air-conditioned office buildings: a reanalysis of epidemiologic studies.

Authors:  M J Mendell; A H Smith
Journal:  Am J Public Health       Date:  1990-10       Impact factor: 9.308

3.  An increasing problem in publication ethics: Publication bias and editors' role in avoiding it.

Authors:  Perihan Elif Ekmekci
Journal:  Med Health Care Philos       Date:  2017-06

4.  Results Blind Science Publishing.

Authors:  Joseph J Locascio
Journal:  Basic Appl Soc Psych       Date:  2017-11-08

5.  Misconduct in medical research.

Authors:  I Chalmers
Journal:  BMJ       Date:  1989-01-28

Review 6.  A break in the obesity epidemic? Explained by biases or misinterpretation of the data?

Authors:  T L S Visscher; B L Heitmann; A Rissanen; M Lahti-Koski; L Lissner
Journal:  Int J Obes (Lond)       Date:  2014-06-09       Impact factor: 5.095

7.  The Royal College of Ophthalmologists' National Ophthalmology Database Study of cataract surgery: report 2, relationships of axial length with ocular copathology, preoperative visual acuity, and posterior capsule rupture.

Authors:  A C Day; P H J Donachie; J M Sparrow; R L Johnston
Journal:  Eye (Lond)       Date:  2015-10-23       Impact factor: 3.775

Review 8.  Alternative approaches to endoscopic ablation for benign enlargement of the prostate: systematic review of randomised controlled trials.

Authors:  Tania Lourenco; Robert Pickard; Luke Vale; Adrian Grant; Cynthia Fraser; Graeme MacLennan; James N'Dow
Journal:  BMJ       Date:  2008-06-30

9.  Re-interpreting conventional interval estimates taking into account bias and extra-variation.

Authors:  Michael Höfler; Shaun R Seaman
Journal:  BMC Med Res Methodol       Date:  2006-10-16       Impact factor: 4.615

Review 10.  Sample size: how many patients are necessary?

Authors:  P M Fayers; D Machin
Journal:  Br J Cancer       Date:  1995-07       Impact factor: 7.640

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