Related Experiment Video
Updated: Aug 6, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
How important is publication bias? A synthesis of available data
1Baltimore Cochrane Center, Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine 21201, USA. kdickers@umabnet.ab.umd.edu
Abstract:
It has long been recognized that investigators frequently fail to report their research findings (Dickersin, 1990). Chalmers (1990) has suggested that this failure represents scientific misconduct since volunteers who consent to participate in research, and agencies that provide funding support for investigations, do so with the understanding that the work will make a contribution to knowledge. Clearly, knowledge that is not disseminated is not making a "contribution". This failure to publish is not only inappropriate scientific conduct, it also influences the information available for interpretation by the scientific community. Of course, if research is left randomly unpublished, there is less information available, but that information is unbiased. We now have solid evidence that failure to publish is not a random event; rather, publication is dramatically influenced by the direction and strength of research findings (Dickersin et al., 1987, 1992; Dickersin & Min, 1993; Easterbrook et al., 1991; Simes, 1986). This tendency of editors and reviewers to accept manuscripts submitted by investigators based on the strength and direction of the research findings is termed "publication bias". The problem has been under discussion for many years and has recently been studied directly in medicine and public health. This article will review the major evidence available regarding publication bias and will suggest measures for overcoming the problem.
Related Concept Videos
Regression Toward the Mean
Chi-square Analysis
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bioequivalence Data: Statistical Interpretation
Bias in Epidemiological Studies