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

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

432
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
432
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

202
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
202
Multiple Regression01:25

Multiple Regression

3.7K
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...
3.7K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.3K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.3K
Regression Analysis01:11

Regression Analysis

7.6K
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:
7.6K
Regression Toward the Mean01:52

Regression Toward the Mean

6.8K
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...
6.8K

You might also read

Related Articles

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

Sort by
Same author

Methodological Approaches to Real-World Evidence Generation for Glucagon-like Peptide-1-Based Therapies: Synopsis of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop.

Annals of internal medicine·2026
Same author

Leveraging Real-World Evidence to Inform Regulatory, Clinical, and Coverage Decisions Related to Glucagon-Like Peptide-1-Based Therapies: Synopsis of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop.

Annals of internal medicine·2026
Same author

Effects of Common Antihypertensive Class Medications on BMI z-Score in Adolescents.

Pediatric obesity·2026
Same author

Post-authorization safety study to assess the risk of diabetic ketoacidosis among type 2 diabetes mellitus patients treated with ertugliflozin compared to patients treated with other antihyperglycaemic agents in a Medicare and Medicaid population.

Diabetic medicine : a journal of the British Diabetic Association·2026
Same author

Discontinuation of Renin-Angiotensin System Inhibitors and Risk of End-Stage Renal Disease and Cardiovascular Outcomes Among Patients With Type 2 Diabetes and Chronic Kidney Disease: A Nationwide Taiwanese Cohort Study.

Pharmacoepidemiology and drug safety·2026
Same author

Recommendations to Enable Broader Use of Real-World Evidence to Inform Decision-Making Throughout Pharmacovigilance Signal Management.

Pharmacoepidemiology and drug safety·2025
Same journal

Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study.

JMIR medical informatics·2026
Same journal

IdeaDistiller-AI Support for Idea Synthesis in Concept Mapping: Algorithm Development and Validation Study.

JMIR medical informatics·2026
Same journal

Pregnancy-Related Clinical Codes in Unlikely Populations in Primary Care.

JMIR medical informatics·2026
Same journal

Selecting, Scaling, and Measuring the Value of Ambient AI in a Nonacademic Health System: Multiphase Pilot Study.

JMIR medical informatics·2026
Same journal

Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China.

JMIR medical informatics·2026
Same journal

Assessing the Feasibility and Acceptability of Implementing a Preclinic Vital Signs Assessment in Primary Care: Cross-Sectional Pilot Study.

JMIR medical informatics·2026
See all related articles

Related Experiment Video

Updated: Dec 19, 2025

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

211

Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational

Qoua Her1, Jessica Malenfant1, Zilu Zhang1

  • 1Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, United States.

JMIR Medical Informatics
|June 5, 2020
PubMed
Summary
This summary is machine-generated.

This study shows that a new distributed regression analysis (DRA) tool integrated with PopMedNet is precise and efficient for multicenter studies. This approach enhances data privacy while enabling robust statistical analysis across distributed datasets.

Keywords:
PopMedNetdistributed data networksdistributed regression analysispharmacoepidemiologyprivacy-protecting analytics

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

2.5K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.1K

Related Experiment Videos

Last Updated: Dec 19, 2025

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

211
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

2.5K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.1K

Area of Science:

  • Health Informatics
  • Biostatistics
  • Data Science

Background:

  • Distributed data networks and distributed regression analysis (DRA) offer enhanced privacy for multicenter studies by minimizing sensitive data disclosure.
  • Current software limitations hinder the large-scale and efficient implementation of DRA.

Purpose of the Study:

  • To evaluate the precision and operational performance of a novel DRA application.
  • The application combines a SAS-based DRA package with PopMedNet for data transfer in a distributed network.

Main Methods:

  • Implemented a SAS-based DRA package for distributed linear, logistic, and Cox proportional hazards regression.
  • Utilized PopMedNet for automated, iterative transfer of summarized data between partners and the analysis center.
  • Compared DRA results with pooled individual-level data analyses for precision and measured workflow execution times for operational performance.

Main Results:

  • DRA results demonstrated high precision (<10^-12), with model fit curves comparable to pooled analyses.
  • All regression models completed end-to-end execution in under 20 minutes.
  • The PopMedNet workflow efficiently transferred summarized data.

Conclusions:

  • Successfully integrated and tested a SAS-based DRA package with PopMedNet in an active distributed data network.
  • Validated the use of DRA for privacy-preserving statistical analysis in multicenter studies.
  • Demonstrated the feasibility of this approach for secure, large-scale data analysis.