Jove
Visualize
Contact Us

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

503
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
503
Relative Risk01:12

Relative Risk

2.3K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.3K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

311
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...
311
Respiratory Assessment: Purpose and Indications01:19

Respiratory Assessment: Purpose and Indications

1.9K
Respiratory assessment is a cornerstone of nursing assessments, crucial for the early detection of patient deterioration. This evaluation transcends routine procedures, representing a critical skill nurses must master to ensure optimal patient care.
Objectives and Importance:
The primary goal of respiratory assessment is to evaluate patients at early risk of clinical deterioration. Since respiratory distress often precedes other signs of declining health, breathing patterns and sounds become a...
1.9K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

342
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
342
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.5K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Model misspecification, measurement error, and apparent supralinearity in the concentration-response relationship between PM2.5 and mortality.

PloS one·2024
Same author

A simulation-based assessment of the ability to detect thresholds in chronic risk concentration-response functions in the presence of exposure measurement error.

PloS one·2022
Same author

Using Uncertainty Analysis to Improve Consistency in Regulatory Assessments of Criteria Pollutant Standards.

Risk analysis : an official publication of the Society for Risk Analysis·2019
Same author

Setting Air Quality Standards for PM<sub>2.5</sub> : A Role for Subjective Uncertainty in NAAQS Quantitative Risk Assessments?

Risk analysis : an official publication of the Society for Risk Analysis·2018
Same author

Author Synthesis and Response.

Risk analysis : an official publication of the Society for Risk Analysis·2016
Same author

Uncertainty in the estimated risk of lung function decrements owing to ozone exposure.

Journal of exposure science & environmental epidemiology·2016
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 Experiment Video

Updated: Mar 2, 2026

Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System
08:48

Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System

Published on: December 21, 2016

9.2K

Integrated Uncertainty Analysis for Ambient Pollutant Health Risk Assessment: A Case Study of Ozone Mortality Risk.

Anne E Smith1, Garrett Glasgow2

  • 1NERA Economic Consulting, Washington, DC, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces integrated uncertainty analysis (IUA) to account for model uncertainty in health risk assessments for air quality standards. IUA provides a more complete understanding of public health gains from policy decisions.

Keywords:
Air pollution health riskintegrated uncertainty analysissubjective probability

More Related Videos

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure
08:17

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

Published on: August 25, 2017

11.6K
Visualizing Lung Cellular Adaptations during Combined Ozone and LPS Induced Murine Acute Lung Injury
14:48

Visualizing Lung Cellular Adaptations during Combined Ozone and LPS Induced Murine Acute Lung Injury

Published on: March 21, 2021

5.6K

Related Experiment Videos

Last Updated: Mar 2, 2026

Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System
08:48

Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System

Published on: December 21, 2016

9.2K
Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure
08:17

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

Published on: August 25, 2017

11.6K
Visualizing Lung Cellular Adaptations during Combined Ozone and LPS Induced Murine Acute Lung Injury
14:48

Visualizing Lung Cellular Adaptations during Combined Ozone and LPS Induced Murine Acute Lung Injury

Published on: March 21, 2021

5.6K

Area of Science:

  • Environmental Health
  • Risk Assessment
  • Epidemiology

Background:

  • The U.S. Environmental Protection Agency (EPA) uses health risk assessments to set National Ambient Air Quality Standards (NAAQS).
  • Current EPA practice relies on a single "core" statistical model, underrepresenting the full scope of uncertainty in risk estimates.
  • Model uncertainty, arising from choices in model specifications and data, has been identified as a significant gap in standard risk analysis.

Purpose of the Study:

  • To discuss the integration of model uncertainty into EPA's health risk assessment approach.
  • To introduce and demonstrate the application of Integrated Uncertainty Analysis (IUA) for quantifying model uncertainty.
  • To illustrate how IUA can improve understanding of public health impacts related to NAAQS decisions.

Main Methods:

  • Review of EPA's standard risk assessment methodology for NAAQS.
  • Development and application of an Integrated Uncertainty Analysis (IUA) framework.
  • Numerical example using respiratory mortality risk from long-term ozone exposure.

Main Results:

  • Quantitatively incorporating model uncertainty via IUA substantially alters the understanding of potential public health gains from NAAQS policies.
  • IUA reveals decreasing incremental health gains from progressively stricter air quality standards.
  • The analysis highlights the importance of considering a range of plausible models, not just a single "core" model.

Conclusions:

  • Integrated Uncertainty Analysis (IUA) is a valuable tool for a more comprehensive health risk assessment in regulatory decision-making.
  • IUA provides more insightful guidance for policy decisions, such as optimizing the stringency of NAAQS.
  • Addressing model uncertainty is crucial for accurately evaluating the public health benefits of air quality regulations.