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

Censoring Survival Data01:09

Censoring Survival Data

74
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
74
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

88
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
88
Blinding01:11

Blinding

2.4K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
2.4K
False Memories01:18

False Memories

81
False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
81
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

175
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
175
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

5.8K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
5.8K

You might also read

Related Articles

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

Sort by
Same author

BK channel deficiency promotes lipolysis via an AKT-independent activation of the cAMP/PKA/HSL pathway.

Journal of lipid research·2026
Same author

Evolution of Gas Film and Corresponding Drag Reduction Performance in Microchannels with Multi-Configuration Wall Microstructures.

Materials (Basel, Switzerland)·2026
Same author

Wavelet spectral-aware Kolmogorov-Arnold Network for organ and tumor segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Identification of Heterogeneous Cortical Thickness Patterns Associated with Prenatal Gestational Diabetes Exposure: A SuStaIn-Based Subtyping Study.

bioRxiv : the preprint server for biology·2026
Same author

Regional reconfiguration of functional brain networks during childhood and adolescence: evaluating age and sex effect.

bioRxiv : the preprint server for biology·2026
Same author

Smartphone-Based Proactive Self-Screening for Ocular Surface Malignancies: A Nonrandomized Clinical Trial.

JAMA ophthalmology·2026
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2025

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.7K

Controlling false discovery rate for mediator selection in high-dimensional data.

Ran Dai1, Ruiyang Li2, Seonjoo Lee3

  • 1Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, United States.

Biometrics
|July 29, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for selecting mediators in high-dimensional data, like neuroimaging and genetic data, while controlling the false discovery rate (FDR). The method successfully identified brain connectivity markers linked to childhood adversity and cognitive scores in a large study.

Keywords:
FDRHigh-dimensional mediatorsimaging dataknockoff

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

Related Experiment Videos

Last Updated: Jun 18, 2025

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.7K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

Area of Science:

  • Neuroscience
  • Genetics
  • Biostatistics

Background:

  • Mediator selection is crucial in high-dimensional datasets common in neuroscience and genetics.
  • Existing methods may lack robust false discovery rate (FDR) control for complex data.

Purpose of the Study:

  • To develop a novel statistical framework for mediator selection from high-dimensional data.
  • To implement a method ensuring FDR control in mediator identification.

Main Methods:

  • Formulated a multiple-hypothesis testing framework for mediator selection.
  • Extended knockoff-based variable selection for FDR-controlled mediator identification.
  • Developed a corresponding algorithm for practical application.

Main Results:

  • The proposed method and algorithm achieve finite sample FDR control.
  • Simulations demonstrate superior power and finite sample performance compared to existing methods.
  • Successfully applied to the Adolescent Brain Cognitive Development (ABCD) study.

Conclusions:

  • The developed method provides a statistically rigorous approach to mediator selection in high-dimensional settings.
  • Identified resting-state functional magnetic resonance imaging (fMRI) connectivity markers as mediators between adverse childhood experiences and cognitive scores.
  • Highlights the utility of the method in large-scale neuroimaging studies like ABCD.