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

Longitudinal Research02:20

Longitudinal Research

13.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.0K
Longitudinal Studies01:26

Longitudinal Studies

388
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
388
Changes in the Appendicular Skeleton with Age01:09

Changes in the Appendicular Skeleton with Age

3.2K
The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
3.2K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

183
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
183

You might also read

Related Articles

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

Sort by
Same author

Are older adult research participants representative of the general population? Results from 19 clinical studies at one academic research center.

Contemporary clinical trials·2026
Same author

Frailty as a Modifier of the Associations Between Vascular Risk Factors and Incident Dementia.

Neurology·2026
Same author

Statins and survival free of incident frailty among older US veterans.

European heart journal·2026
Same author

Examining the Relevance of Gait Speed Resiliencies to Different Stressors: the ARIC Study.

The journals of gerontology. Series A, Biological sciences and medical sciences·2026
Same author

Developing And Internally Validating AI-Based Aging Resilience Biomarkers in Non-Human Primates.

bioRxiv : the preprint server for biology·2026
Same author

Developing and internally validating AI-based aging resilience biomarkers in non-human primates.

The journals of gerontology. Series A, Biological sciences and medical sciences·2026
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
See all related articles

Related Experiment Video

Updated: Dec 15, 2025

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

11.4K

Longitudinal partially ordered data analysis for preclinical sarcopenia.

Edward H Ip1, Shyh-Huei Chen1, Karen Bandeen-Roche2

  • 1Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.

Statistics in Medicine
|July 12, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new statistical model to analyze sarcopenia progression over time. The model enhances understanding of individual susceptibility to muscle loss by analyzing different sarcopenia states.

Keywords:
Health ABCaginglongitudinal analysismuscle massposet

More Related Videos

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

8.5K
The Creation of a Rat Model for Osteosarcopenia via Ovariectomy
03:52

The Creation of a Rat Model for Osteosarcopenia via Ovariectomy

Published on: February 21, 2025

897

Related Experiment Videos

Last Updated: Dec 15, 2025

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

11.4K
Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

8.5K
The Creation of a Rat Model for Osteosarcopenia via Ovariectomy
03:52

The Creation of a Rat Model for Osteosarcopenia via Ovariectomy

Published on: February 21, 2025

897

Area of Science:

  • Gerontology
  • Biostatistics
  • Epidemiology

Background:

  • Sarcopenia, a geriatric syndrome, involves significant muscle mass loss.
  • Common definitions create distinct subclinical and clinical sarcopenia states, forming a partially ordered set (poset).
  • Analyzing longitudinal changes in these states is crucial for understanding disease progression.

Purpose of the Study:

  • To propose a novel statistical model for analyzing longitudinal partially ordered sets (posets) in the context of sarcopenia.
  • To extend generalized linear mixed models for joint estimation of ordered and nominal sarcopenia categories.
  • To leverage information from nominal states to improve statistical inference on sarcopenia susceptibility.

Main Methods:

  • Development of an extended generalized linear mixed model.
  • Introduction of a recoding scheme for poset analysis.
  • Joint estimation of two submodels (ordered and nominal categories) with common random effects, conceptualized as latent variables representing sarcopenia susceptibility.

Main Results:

  • The proposed model allows for the joint estimation of ordered and nominal sarcopenia states.
  • Random effects, modeled as latent variables, capture underlying susceptibility to sarcopenia over time.
  • Information from nominal sarcopenic states can strengthen statistical inference.

Conclusions:

  • The new poset model provides a robust framework for analyzing longitudinal sarcopenia data.
  • This approach enhances the understanding of individual susceptibility to sarcopenia progression.
  • The method offers improved statistical inference by incorporating information from all sarcopenia states.