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

Multiple Comparison Tests01:13

Multiple Comparison Tests

3.4K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.4K
Significance Testing: Overview01:04

Significance Testing: Overview

10.2K
Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
10.2K
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

6.0K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
6.0K
Bonferroni Test01:10

Bonferroni Test

2.6K
The Bonferroni test is a statistical test named after Carlo Emilio Bonferroni, an Italian mathematician best known for Bonferroni inequalities. This statistical test is a type of multiple comparison test to determine which means are different than the rest. Bonferroni test can minimize the Type 1 error by reducing the significance level alpha, which otherwise increases with sample pairs.
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
2.6K
Test for Homogeneity01:23

Test for Homogeneity

1.7K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
1.7K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

6.2K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
6.2K

You might also read

Related Articles

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

Sort by
Same author

Caregiver Mental Health and Sociodemographic Factors Associated with the Burden of Care in Taiwan Among Primary Caregivers of Patients with Major Depressive Disorder: A Cross-Sectional Study.

Neuropsychiatric disease and treatment·2026
Same author

Affordable Excellence: A Meta-Analysis on the Efficacy of Topical Tranexamic Acid in Reducing Blood Loss in Thoracolumbar Spinal Surgery.

Turkish neurosurgery·2026
Same author

Development and validation of a checklist for evaluating root canal treatment performance in Taiwan.

Journal of dental sciences·2026
Same author

The effects of Oligo-Fucoidan on muscle function in community-dwelling older adults: A double-blind, randomized, placebo-controlled trial.

Archives of gerontology and geriatrics·2025
Same author

Impact of diabetes mellitus on periapical, periodontal, and oral health and the potential confounders: A cross-sectional study.

Journal of dentistry·2025
Same author

Treatment Effects of Panretinal Photocoagulation or Combined Anti-Vascular Endothelial Growth Factor Therapy for Proliferative Diabetic Retinopathy on the Risks of Diabetic Macular Edema and Vitreous Hemorrhage.

Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde·2025
Same journal

FIGLA Novel Variant c.385-9G>A Affects RNA Splicing in a Minigene Assay.

Annals of human genetics·2026
Same journal

Epigenetic Shifts in MTNR1A, MTNR1B and Fn14 and Their Links to Preeclampsia Risk.

Annals of human genetics·2026
Same journal

Hip Bone Marrow Adiposity as a Risk Factor for Alzheimer's Disease: Insights From Mendelian Randomization Analysis.

Annals of human genetics·2026
Same journal

A Novel Biallelic REL Frameshift Variant p.(Tyr9Ilefs*2) Causing Immunodeficiency-92 With Profound c-Rel Deficiency.

Annals of human genetics·2026
Same journal

Identification of PSMA4 as a Therapeutic Target for Atherosclerosis: A Comprehensive Multiomics Mendelian Randomization Analysis.

Annals of human genetics·2026
Same journal

Genetic Insights Into Hypertension and Breast Cancer Risk in African Women: A Mendelian Randomization and Colocalization Analyses.

Annals of human genetics·2026
See all related articles

Related Experiment Video

Updated: May 2, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.6K

A family-based robust multivariate association test using maximum statistic.

Tsung-Jen Hsieh1, Shu-Hui Chang, John Jen Tai

  • 1Division of Biostatistics, College of Public Health, National Taiwan University, Taipei, Taiwan.

Annals of Human Genetics
|February 28, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a robust multivariate association test for complex diseases using family data. The new method maintains testing power across various genetic models, outperforming existing approaches for multiple quantitative traits.

Keywords:
Candidate genecopulagenetic modelmultiple quantitative traits

More Related Videos

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.1K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

9.2K

Related Experiment Videos

Last Updated: May 2, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.6K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.1K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

9.2K

Area of Science:

  • Genetics
  • Biostatistics
  • Complex Disease Research

Background:

  • Familial data with multiple quantitative traits are crucial for understanding complex disease genetic mechanisms.
  • Existing multivariate association tests risk reduced power due to genetic model misspecification.

Purpose of the Study:

  • To develop a family-based robust multivariate association test for complex diseases.
  • To enhance statistical power in genetic studies involving multiple correlated quantitative traits.

Main Methods:

  • Established optimal multivariate score tests for recessive, additive, and dominant genetic models.
  • Developed a maximum-type robust multivariate association test based on optimal score tests.
  • Conducted simulations to compare power against existing multivariate methods.

Main Results:

  • The proposed robust multivariate test demonstrated consistent power across all plausible genetic models.
  • Simulations confirmed the robust test's superior performance compared to other multivariate methods.
  • The robust multivariate test showed greater power than the robust univariate test for multiple quantitative traits.

Conclusions:

  • The developed family-based robust multivariate association test effectively addresses power loss from genetic model misspecification.
  • This robust approach offers improved power for analyzing genetic associations with multiple quantitative traits in complex diseases.
  • The method's applicability is validated through practical data set analysis.