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

Production Efficiency01:01

Production Efficiency

19.1K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
19.1K
Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

7.6K
The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
7.6K
Curve Sketching and Derivatives01:22

Curve Sketching and Derivatives

226
Understanding the behavior of a function through its first and second derivatives is essential for analyzing its graph. Derivatives provide insight into where a function increases or decreases, where it attains local maxima or minima, and how its curvature behaves across different intervals.The first derivative of a function reveals the slope of the tangent line at any given point. Points where the derivative is zero or undefined are considered critical, as they often indicate potential extrema...
226
Pharmacodynamic Models: Linear Concentration–Effect Model01:15

Pharmacodynamic Models: Linear Concentration–Effect Model

70
The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing...
70
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

464
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
464
Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

Determination of Renal Drug Clearance: Graphical and Midpoint Methods

478
Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
478

You might also read

Related Articles

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

Sort by
Same author

Optimizing vaccine site locations while considering travel inconvenience and public health outcomes.

Health care management science·2026
Same author

Comparative impacts and cost-effectiveness of tuberculosis systematic screening strategies in prisons in Brazil, Colombia, and Peru: A mathematical modeling study.

PLoS medicine·2026
Same author

Potential Paths Forward from "On Representations and Quantifications of Uncertainty".

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same author

A Tutorial on Discrete Event Simulation Models Using a Cost-Effectiveness Analysis Example in R.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same author

Viral introductions and return to baseline sexual behaviors maintain low-level mpox incidence in Los Angeles.

Nature communications·2026
Same author

Health and Economic Impacts of Stable Housing Provision for Older Adults.

JAMA health forum·2026

Related Experiment Video

Updated: Apr 13, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.1K

An Efficient, Noniterative Method of Identifying the Cost-Effectiveness Frontier.

Sze-chuan Suen1, Jeremy D Goldhaber-Fiebert2

  • 1Department of Management Science and Engineering, Stanford University Stanford, CA, USA (SS)

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|May 1, 2015
PubMed
Summary

This study introduces a faster, simpler algorithm for cost-effectiveness analysis, improving how researchers identify the most efficient healthcare options. The new method enhances decision-making by efficiently mapping the efficient frontier.

Keywords:
cost-effectiveness analysis frontiernet monetary benefit

More Related Videos

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.6K
Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.9K

Related Experiment Videos

Last Updated: Apr 13, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.1K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.6K
Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.9K

Area of Science:

  • Health economics
  • Decision analysis
  • Biostatistics

Background:

  • Cost-effectiveness analysis (CEA) identifies optimal treatments within resource limits.
  • Conventional methods for finding the efficient frontier can be computationally intensive, especially with numerous options or sensitivity analyses.

Purpose of the Study:

  • To present a novel, one-pass algorithm for identifying the efficient frontier in CEA.
  • To offer a computationally efficient and simpler alternative to existing methods.

Main Methods:

  • Developed a new algorithm leveraging the relationship between net monetary benefit and the cost-effectiveness plane.
  • Implemented the algorithm in R and Matlab for practical application.

Main Results:

  • The proposed one-pass algorithm is conceptually simple, easier to implement, and potentially faster than conventional approaches.
  • Demonstrated the algorithm's utility for identifying efficient frontiers in complex policy problems.

Conclusions:

  • The new algorithm provides a more efficient approach to identifying cost-effective options in health economics.
  • Availability of R and Matlab scripts facilitates broader adoption and evaluation of this method.