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

Regression Toward the Mean01:52

Regression Toward the Mean

6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

8.1K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
8.1K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

115
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
115
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

786
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
786
Regression Analysis01:11

Regression Analysis

6.4K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
6.4K
Multiple Regression01:25

Multiple Regression

3.3K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Intraindividual cognitive variability predicts amyloid beta, tau PET, and dementia conversion in Down syndrome: a potential marker of cognitive resilience.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Inflammation Associated With Obesity, Aging, and Amyloid Burden in Adults With Down Syndrome.

Obesity (Silver Spring, Md.)·2026
Same author

Leveraging STRAW +10 criteria to evaluate menopause stage effects on sleep quality.

Climacteric : the journal of the International Menopause Society·2026
Same author

The Genetic and Environmental Architecture of the Human Functional Connectome.

ArXiv·2026
Same author

Circadian Rest-Activity Rhythms, Cognition, and Alzheimer Disease Dementia in Adults With Down Syndrome.

Neurology·2026
Same author

Early syndecan-4 upregulation predicts cognitive and pathological trajectories in Alzheimer disease.

Alzheimer's research & therapy·2026
Same journal

Semiparametric regression methods for temporal processes subject to multiple sources of censoring.

The Canadian journal of statistics = Revue canadienne de statistique·2026
Same journal

Robust causal inference for point exposures with missing confounders.

The Canadian journal of statistics = Revue canadienne de statistique·2025
Same journal

Debiased lasso after sample splitting for estimation and inference in high-dimensional generalized linear models.

The Canadian journal of statistics = Revue canadienne de statistique·2025
Same journal

Variable selection in modelling clustered data via within-cluster resampling.

The Canadian journal of statistics = Revue canadienne de statistique·2025
Same journal

Robust Estimation of Loss-Based Measures of Model Performance under Covariate Shift.

The Canadian journal of statistics = Revue canadienne de statistique·2024
Same journal

Optimal multiwave validation of secondary use data with outcome and exposure misclassification.

The Canadian journal of statistics = Revue canadienne de statistique·2024
See all related articles

Related Experiment Video

Updated: Oct 7, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.7K

Connectivity-informed adaptive regularization for generalized outcomes.

Damian Brzyski1, Marta Karas2, Beau M Ances3

  • 1Department of Mathematics, Wrocław University of Science and Technology, Wrocław, 50-372, Poland.

The Canadian Journal of Statistics = Revue Canadienne De Statistique
|January 10, 2022
PubMed
Summary
This summary is machine-generated.

We developed a new neuroimaging method, generalized ridgified Partially Empirical Eigenvectors for Regression (griPEER), to integrate structural brain connectivity data for improved regression analysis. This approach enhances the accuracy of estimating associations between brain structure and outcomes.

Keywords:
Brain connectivityLaplacian matrixbrain structuregeneralized linear regressionpenalized regressionstructured penalties

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.4K

Related Experiment Videos

Last Updated: Oct 7, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.7K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.4K

Area of Science:

  • Neuroimaging
  • Biostatistics
  • Computational Neuroscience

Background:

  • Integrating multimodal neuroimaging data is challenging, often leading to information loss.
  • Separate analysis of imaging modalities fails to capture shared variance.

Purpose of the Study:

  • To propose a novel regularization method, griPEER, for principled integration of structural brain connectivity into regression models.
  • To improve the estimation of associations between brain structure and scalar outcomes.

Main Methods:

  • Developed generalized ridgified Partially Empirical Eigenvectors for Regression (griPEER).
  • Incorporated a penalty term derived from the structural connectivity Laplacian matrix into penalized generalized linear regression.
  • Addressed theoretical and computational aspects, including significance testing.

Main Results:

  • Demonstrated the robustness of griPEER even with incomplete structural connectivity information.
  • Evaluated griPEER through extensive simulations and classification of HIV+ and HIV- individuals using clinical data.

Conclusions:

  • griPEER offers a principled and robust method for integrating structural brain connectivity in neuroimaging regression.
  • The method effectively estimates associations and can be applied to clinical classification tasks.