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

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

Mechanistic Models: Compartment Models in Individual and Population Analysis

18
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...
18
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

65
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
65
Compartment Models: Single-Compartment Model01:14

Compartment Models: Single-Compartment Model

2.1K
The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
2.1K
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

45
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
45
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

5.0K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
5.0K
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

29
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
29

You might also read

Related Articles

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

Sort by
Same author

Eco-evolutionary context modifies a destructive plant invader's response to climate.

The New phytologist·2026
Same author

Continuous-space occupancy models.

Biometrics·2025
Same author

Melding wildlife surveys to improve conservation inference.

Biometrics·2023
Same author

Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems.

Biometrics·2023
Same author

Simple statistical models can be sufficient for testing hypotheses with population time-series data.

Ecology and evolution·2022
Same author

Scale-dependent influence of the sagebrush community on genetic connectivity of the sagebrush obligate Gunnison sage-grouse.

Molecular ecology·2022

Related Experiment Video

Updated: May 14, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K

Rejoinder to the discussion on "Continuous-space occupancy models".

Wilson J Wright1, Mevin B Hooten2

  • 1Department of Statistics, University of Missouri, Columbia, MO 65211, United States.

Biometrics
|May 13, 2025
PubMed
Summary
This summary is machine-generated.

This rejoinder discusses continuous-space occupancy models, exploring their assumptions and alternative methods. It offers insights into future research directions for improved ecological modeling.

Keywords:
animal movementchange of spatial supportclosure assumptionspatial statisticsspecies distributions

More Related Videos

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.4K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.8K

Related Experiment Videos

Last Updated: May 14, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.4K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.8K

Area of Science:

  • Ecology
  • Ecological Modeling

Background:

  • Continuous-space occupancy models are widely used but rely on specific assumptions.
  • Understanding these assumptions is crucial for accurate ecological data interpretation.

Purpose of the Study:

  • To expand on discussions regarding continuous-space occupancy models.
  • To explore alternative approaches and future research avenues in occupancy modeling.

Main Methods:

  • The study involves a theoretical discussion and commentary on existing modeling frameworks.
  • It does not present new empirical data but analyzes current methodologies.

Main Results:

  • Key assumptions of continuous-space occupancy models are critically examined.
  • Alternative modeling strategies are proposed for enhanced ecological inference.

Conclusions:

  • Further research is needed to refine occupancy models and their underlying assumptions.
  • Addressing these aspects will improve the robustness of ecological studies.