Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bias01:22

Bias

8.0K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
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...
8.0K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.6K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.6K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

554
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
554
Study Design in Statistics01:15

Study Design in Statistics

10.3K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.3K
Confirmation Biases01:31

Confirmation Biases

8.6K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
8.6K
Observational Studies01:11

Observational Studies

11.5K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
11.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A re-examination of the mere exposure effect: The influence of repeated exposure on recognition, familiarity, and liking.

Psychological bulletin·2017
Same author

A parsimonious weight function for modeling publication bias.

Psychological methods·2017
Same author

A survey of publication practices of single-case design researchers when treatments have small or large effects.

Journal of applied behavior analysis·2016
Same author

The varieties of speech to young children.

Developmental psychology·2007
Same author

Recovering stimuli from memory: a statistical method for linking discrimination and reproduction responses.

The British journal of mathematical and statistical psychology·2006
Same author

Publication bias in research synthesis: sensitivity analysis using a priori weight functions.

Psychological methods·2006

Related Experiment Video

Updated: Apr 4, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

34.4K

Publication bias as a function of study characteristics.

Kathleen M Coburn1, Jack L Vevea1

  • 1Psychological Sciences, School of Social Sciences, Humanities and Arts, The University of California, Merced.

Psychological Methods
|September 9, 2015
PubMed
Summary

Publication bias extends beyond nonsignificant results, influenced by study characteristics like funding and design. Analyzing these factors reveals variations in bias, suggesting tailored models are beneficial.

More Related Videos

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.3K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

79.3K

Related Experiment Videos

Last Updated: Apr 4, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

34.4K
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.3K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

79.3K

Area of Science:

  • Meta-analysis and research integrity.
  • Statistical methods in scientific research.

Background:

  • Publication bias is often narrowly defined as a bias against publishing nonsignificant results.
  • However, study characteristics such as funding source, study design (single-center vs. multicenter), and prevailing theories can also contribute to publication bias.

Purpose of the Study:

  • To investigate the relationship between publication bias and specific study characteristics.
  • To assess whether publication bias varies across different levels of these characteristics.

Main Methods:

  • The study analyzed two meta-analytic datasets.
  • Publication bias was assessed at different levels of study characteristics using funnel plots, trim and fill, Egger's regression, cumulative meta-analysis, and the Vevea and Hedges weight-function model.
  • Likelihood ratio tests were employed within the Vevea and Hedges model to evaluate information loss from single-pattern selection models.

Main Results:

  • Publication bias was found to differ across various levels of study characteristics.
  • The analysis demonstrated that considering study characteristics in models of publication bias can be advantageous.

Conclusions:

  • Publication bias is a multifaceted issue influenced by factors beyond statistical significance.
  • Accounting for study characteristics in the analysis of publication bias can provide a more nuanced and accurate understanding.
  • Developing models that accommodate the relationship between study characteristics and publication bias is recommended.