Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Variability: Analysis

Variability: Analysis

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...

Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect

Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect

The pharmacokinetic-pharmacodynamic (PK-PD) relationship describes the intricate link between drug exposure, efficacy, and toxicity, forming the foundation for optimal dosing regimens. This relationship uses mathematical modeling to characterize drug concentration-effect dynamics, ensuring precise therapeutic outcomes.Exposure represents the pharmacokinetic aspect of the PK-PD relationship, denoting the drug amount that elicits a biological response. It is typically quantified by administered...

Pulmonary Function Tests

Pulmonary Function Tests

Pulmonary Function Tests (PFTs)
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...

Asthma-II: Pathophysiology and Classification

Asthma-II: Pathophysiology and Classification

Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:

Factors Affecting Pulmonary Ventilation

Factors Affecting Pulmonary Ventilation

Besides the pressure difference between the external environment and the lungs, the airflow rate and ease of pulmonary ventilation are also influenced by three other factors: surface tension of the fluid in the alveoli, compliance of the lungs, and airway resistance.
Alveolar Surface Tension
The alveolar fluid lines the luminal surface of the alveoli and exerts a force called surface tension. This force is caused by the polar water molecules in the liquid being more strongly attracted to each...

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

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 squares (OLS)...

You might also read

Related Articles

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

Sort by

Same author

Paramedic-Delivered Prehospital Thrombolysis Reduces the Time to Reperfusion Therapy in Patients Suffering ST Elevation Myocardial Infarction in Rural and Regional NSW.

Heart, lung & circulation·2025

Same author

Altered bile acid and coproporphyrin-I disposition in patients with autosomal dominant polycystic kidney disease.

British journal of clinical pharmacology·2024

Same author

Child Adult Relationship Enhancement in Primary Care (PriCARE): study design/protocol for a randomized trial of a primary care-based group parenting intervention to prevent child maltreatment.

Trials·2023

Same author

Medically tailored meals for food insecurity and type 2 diabetes: Protocol for the Food as Medicine for Diabetes (FAME-D) trial.

Contemporary clinical trials·2022

Same author

Sustainable and equivalent improvements in symptoms and functional well-being following viral cure from ledipasvir/sofosbuvir versus elbasvir/grazoprevir for chronic hepatitis C infection: Findings from the randomized PRIORITIZE trial.

Journal of viral hepatitis·2022

Same author

Biodistribution of Biomimetic Drug Carriers, Mononuclear Cells, and Extracellular Vesicles, in Nonhuman Primates.

Advanced biology·2021

Search research articles

Related Experiment Video

Updated: May 10, 2026

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure

Published on: August 25, 2017

Ozone exposure-response model for lung function changes: an alternate variability structure.

William F McDonnell¹, Paul W Stewart, Marjo V Smith

¹William F. McDonnell Consulting , Chapel Hill, NC 27514, USA. McDonnell.William@Earthlink.Net

Inhalation Toxicology

|June 8, 2013

Summary

This summary is machine-generated.

A new statistical model improves predictions of human lung function (FEV1) response to ozone. This model better accounts for how individual variability changes with ozone exposure, enhancing air quality risk assessments.

More Related Videos

In Vivo Assessment of Alveolar Macrophage Efferocytosis Following Ozone Exposure

In Vivo Assessment of Alveolar Macrophage Efferocytosis Following Ozone Exposure

Published on: October 22, 2019

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Related Experiment Videos

Last Updated: May 10, 2026

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure

Published on: August 25, 2017

In Vivo Assessment of Alveolar Macrophage Efferocytosis Following Ozone Exposure

In Vivo Assessment of Alveolar Macrophage Efferocytosis Following Ozone Exposure

Published on: October 22, 2019

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Area of Science:

Environmental Health
Pulmonary Medicine
Biostatistics

Background:

A statistical model for predicting human forced expiratory volume in one second (FEV1) response to ozone exposure is foundational for risk assessments.
Existing models may have limitations in assumptions regarding intra-subject variability.

Purpose of the Study:

To identify alternative assumptions for intra-subject variability in ozone exposure models.
To compare the goodness-of-fit of models with different variability structures.

Main Methods:

Nonlinear mixed-effects models were fitted to existing data.
Goodness-of-fit was assessed using Akaike's Information Criteria (AIC) and graphical analysis.

Main Results:

A model assuming intra-subject variability relates to the magnitude of individual response demonstrated a better fit than a model with constant variability.
This finding was supported by observed response variability during filtered air and low-level ozone exposures.

Conclusions:

An ozone exposure-response model incorporating increasing intra-subject variability with mean FEV1 response offers improved data fit.
This refined model may lead to more accurate ambient ozone risk assessments.