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

Binary Fission01:26

Binary Fission

3.2K
Binary fission is the primary mode of asexual reproduction in prokaryotes, such as bacteria. It results in the production of two genetically identical daughter cells. This highly efficient process ensures the rapid propagation of bacterial populations under favorable conditions and involves coordinated cellular and molecular events.DNA Replication and SeparationThe process begins with the replication of the bacterial chromosome. The circular DNA molecule unwinds at a specific origin of...
3.2K
Binary Fission01:20

Binary Fission

63.8K
Fission is the division of a single entity into two or more parts, which regenerate into separate entities that resemble the original. Organisms in the Archaea and Bacteria domains reproduce using binary fission, in which a parent cell splits into two parts that can each grow to the size of the original parent cell. This asexual method of reproduction produces cells that are all genetically identical.
63.8K
Generalized Hooke's Law01:22

Generalized Hooke's Law

2.7K
The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
2.7K
Generalized Anxiety Disorder01:30

Generalized Anxiety Disorder

731
Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
731
Social Foundations of Self II: The Generalized Other01:20

Social Foundations of Self II: The Generalized Other

267
According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
267
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

1.4K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Harmonising definitions of multiple long term conditions for inflammation research: a co-production approach.

BMC research notes·2026
Same author

Assessment of temporal instability in the applied ecology and conservation evidence base.

Research synthesis methods·2023
Same author

Estimation of heterogeneity variance based on a generalized Q statistic in meta-analysis of log-odds-ratio.

Research synthesis methods·2023
Same author

A double-Cox model for non-proportional hazards survival analysis with frailty.

Statistics in medicine·2023
Same author

Long term survival after a first transient ischaemic attack in England: A retrospective matched cohort study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association·2022
Same author

On the Q statistic with constant weights for standardized mean difference.

The British journal of mathematical and statistical psychology·2022

Related Experiment Video

Updated: Feb 8, 2026

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

1.2K

Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study.

Ilyas Bakbergenuly1, Elena Kulinskaya2

  • 1School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK. i.bakbergenuly@uea.ac.uk.

BMC Medical Research Methodology
|July 6, 2018
PubMed
Summary
This summary is machine-generated.

Generalized linear mixed models (GLMMs) were simulated as an alternative to standard random-effects meta-analysis for binary outcomes. Simulations suggest GLMMs do not uniformly outperform standard methods, leaving the optimal approach for meta-analysis of binary data unresolved.

Keywords:
Generalized linear mixed-effects modelsHypergeometric-normal likelihoodMeta-analysisRandom effectsTransformation bias

More Related Videos

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

77.7K
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

1.6K

Related Experiment Videos

Last Updated: Feb 8, 2026

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

1.2K
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

77.7K
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

1.6K

Area of Science:

  • Biostatistics
  • Medical Research Methodology
  • Statistical Modeling

Background:

  • Meta-analysis of binary outcomes commonly uses the odds ratio and random-effects models.
  • Standard random-effects models for odds ratios have known limitations.
  • Generalized linear mixed models (GLMMs) are proposed as an alternative due to their theoretical advantages.

Purpose of the Study:

  • To evaluate the performance of four GLMM methods for meta-analysis of odds ratios.
  • To compare GLMM performance against the standard random-effects model using extensive simulations.
  • To address the lack of simulation studies on GLMMs in meta-analysis.

Main Methods:

  • Extensive simulations were conducted to assess GLMM performance.
  • Four GLMM approaches were evaluated: fixed effects, random effects, and two conditional methods.
  • Performance was compared to the standard random-effects meta-analysis model.

Main Results:

  • The hypergeometric-normal model showed less biased estimation of heterogeneity variance in sparse data compared to restricted maximum likelihood (REML).
  • REML performed comparably for point estimation of the odds ratio.
  • REML demonstrated superior performance for interval estimation of the odds ratio.

Conclusions:

  • Current evidence makes it difficult to recommend GLMMs for routine meta-analysis practice.
  • The search for universally effective methods for binary outcome meta-analysis remains ongoing.
  • Further research is needed to identify optimal statistical approaches for meta-analysis of binary data.