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Journal ArticleDOI

Factors Influencing Publication of Research Results: Follow-up of Applications Submitted to Two Institutional Review Boards

TLDR
There was evidence of publication bias in that for both institutional review boards there was an association between results reported to be significant and publication and contrary to popular opinion, publication bias originates primarily with investigators, not journal editors.
Abstract
Objective. —To investigate factors associated with the publication of research findings, in particular, the association between "significant" results and publication. Design. —Follow-up study. Setting. —Studies approved in 1980 or prior to 1980 by the two institutional review boards that serve The Johns Hopkins Health Institutions—one that serves the School of Medicine and Hospital and the other that serves the School of Hygiene and Public Health. Population. —A total of 737 studies were followed up. Results. —Of the studies for which analyses had been reported as having been performed at the time of interview, 81% from the School of Medicine and Hospital and 66% from the School of Hygiene and Public Health had been published. Publication was not associated with sample size, presence of a comparison group, or type of study (eg, observational study vs clinical trial). External funding and multiple data collection sites were positively associated with publication. There was evidence of publication bias in that for both institutional review boards there was an association between results reported to be significant and publication (adjusted odds ratio, 2.54; 95% confidence interval, 1.63 to 3.94). Contrary to popular opinion, publication bias originates primarily with investigators, not journal editors: only six of the 124 studies not published were reported to have been rejected for publication. Conclusion. —There is a statistically significant association between significant results and publication. (JAMA. 1992;267:374-378)

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Journal ArticleDOI

Systematic review and meta-analysis

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TL;DR: The Cochrane Handbook for Systematic Reviews of Interventions is the official document that describes in detail the process of preparing and maintaining Cochrane systematic reviews on the effects of healthcare interventions.
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Operating characteristics of a rank correlation test for publication bias.

TL;DR: In this paper, an adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations, and the test statistic is a direct statistical analogue of the popular funnel-graph.
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Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
Journal ArticleDOI

A meta-analytic test of intergroup contact theory.

TL;DR: The meta-analysis finds that intergroup contact typically reduces intergroup prejudice, and this result suggests that contact theory, devised originally for racial and ethnic encounters, can be extended to other groups.
References
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Journal ArticleDOI

Publication bias in clinical research

TL;DR: The presence of publication bias in a cohort of clinical research studies is confirmed and it is suggested that conclusions based only on a review of published data should be interpreted cautiously, especially for observational studies.
Book

Case-Control Studies: Design, Conduct, Analysis

TL;DR: Case-control studies, often called 'retrospective' studies, provide a research method for investigating factors that may prevent or cause disease.
Journal ArticleDOI

The existence of publication bias and risk factors for its occurrence.

TL;DR: Publication bias is the tendency on the part of investigators, reviewers, and editors to submit or accept manuscripts for publication based on the direction or strength of the study findings.
Journal ArticleDOI

Publication bias : a problem in interpreting medical data

TL;DR: In this paper, the authors review the available research, discuss alternative suggestions for conducting unbiased meta-analysis and suggest some scientific policy measures which could improve the quality of published data in the long term.
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