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

Variability: Analysis01:11

Variability: Analysis

421
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
421
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

223
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...
223
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

226
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...
226
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

461
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
461
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

502
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
502
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

1.1K
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...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Research-Practice Partnership to Implement Physical Activity Maintenance Strategies in Community-based Exercise Programs for Cancer Survivors.

Progress in community health partnerships : research, education, and action·2026
Same author

Participant versus informant reports of changes in social, emotional, and financial functioning after an exercise intervention with older adults: an actor-partner interdependence model analysis.

Frontiers in psychology·2026
Same author

A Brief History of COPD: As Told by Some of Its Senior Scientists and Clinicians.

Journal of clinical medicine·2026
Same author

Anxiety and Well-Being During Pregnancy: An Exploratory Path Analysis Approach to Investigate the Role of Psychological Capital and Coping Behaviors.

The Journal of perinatal education·2026
Same author

Pediatric Skin Disease Frequencies and Dermatology Use by Race and Ethnicity in US Children's Hospitals.

JAMA dermatology·2026
Same author

Screen Use While Eating and Toddler Dietary Intake in Mexican American Families.

Journal of nutrition education and behavior·2026

Related Experiment Video

Updated: Jan 9, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.3K

Latent variable mixture modeling: a flexible statistical approach for identifying and classifying heterogeneity.

Sarah J Schmiege1, Paula Meek, Angela D Bryan

  • 1Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Denver, Aurora, CO 80045, USA. Sarah.Schmiege@ucdenver.edu

Nursing Research
|May 4, 2012
PubMed
Summary
This summary is machine-generated.

Latent variable mixture modeling reveals distinct symptom patterns in smokers and varied condom use trajectories in adolescents. These advanced techniques uncover hidden data relationships valuable for nursing research.

More Related Videos

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.7K
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.7K

Related Experiment Videos

Last Updated: Jan 9, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.3K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.7K
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.7K

Area of Science:

  • Nursing Research
  • Statistical Modeling

Background:

  • Latent variable mixture modeling (LVMM) is increasingly utilized in nursing.
  • LVMM offers sophisticated methods for identifying data relationships, patterns, and clusters.

Purpose of the Study:

  • To provide an overview of mixture modeling techniques in nursing research.
  • To illustrate cross-sectional and longitudinal applications of LVMM with two distinct study examples.

Main Methods:

  • Latent profile analysis applied to respiratory symptoms in 2,232 smokers.
  • Growth mixture modeling applied to condom use trajectories in 728 at-risk adolescents.

Main Results:

  • Three distinct respiratory symptom classes identified in smokers, associated with gender and wood smoke exposure.
  • Four condom use trajectories found in adolescents; 41% showed stable or increasing use, contrary to previous findings.

Conclusions:

  • LVMM provided substantive insights into data patterns not evident with traditional methods.
  • Discussion of considerations for implementing LVMM in nursing research contexts.