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

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

100
Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
100
The Influence of Cognition on Affect01:29

The Influence of Cognition on Affect

276
Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
276
Reason and Intuition01:37

Reason and Intuition

7.7K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.7K
Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

61
Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
61
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

472
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...
472
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

78
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
78

You might also read

Related Articles

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

Sort by
Same author

Deciding whether to do elective neck dissection in patients with salivary gland tumors with no evidence of neck lymph node metastasis.

European annals of otorhinolaryngology, head and neck diseases·2025
Same author

Early Diagnosis and Lung Cancer Screening.

Clinical oncology (Royal College of Radiologists (Great Britain))·2022
Same author

Incidental findings in low dose CT lung cancer screening of high-risk smokers: Results from the Manchester lung Health Check pilot.

Lung cancer (Amsterdam, Netherlands)·2022
Same author

Computational design of mechanically coupled axle-rotor protein assemblies.

Science (New York, N.Y.)·2022
Same author

Conventional oxygen therapy versus CPAP as a ceiling of care in ward-based patients with COVID-19: a multi-centre cohort evaluation.

EClinicalMedicine·2021
Same author

Unification of hydrogen-enhanced damage understanding through strain-life experiments for modeling.

Engineering fracture mechanics·2020
Same journal

Bayesian Machine Learning Tools for Alcohol Use Disorder Research: The bpaup R Package.

Multivariate behavioral research·2026
Same journal

A Unified Framework for Jointly modelling Response Times and Item Position Effects in Computer-Based Learning Assessments.

Multivariate behavioral research·2026
Same journal

Generalizability Theory Applied to Daily Relationship Quality: Substantive and Statistical Directions.

Multivariate behavioral research·2026
Same journal

A Modularized Higher-Order Diagnostic Classification Model for Clustered Attribute Hierarchies.

Multivariate behavioral research·2026
Same journal

Generalizing Causal Effects to a Target Population Without Individual-Level Data from the Target Population.

Multivariate behavioral research·2026
Same journal

betaselectr: Selective (and Proper) Standardization in Structural Equation Models.

Multivariate behavioral research·2026
See all related articles

Related Experiment Video

Updated: Mar 26, 2026

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
06:30

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

Published on: May 24, 2019

5.8K

THE INVESTIGATION OF COGNITIVE MODELS FOR INVENTORY RESPONSE.

N Cliff, P Bradley, R Girard

    Multivariate Behavioral Research
    |January 23, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study models personality inventory responses by linking item endorsement to perceived semantic meaning. High correlations were found, comparable to response consistency, suggesting robust personality measurement models.

    More Related Videos

    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
    13:54

    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

    Published on: August 18, 2023

    6.2K
    Errors as a Means of Reducing Impulsive Food Choice
    07:07

    Errors as a Means of Reducing Impulsive Food Choice

    Published on: June 5, 2016

    9.3K

    Related Experiment Videos

    Last Updated: Mar 26, 2026

    Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
    06:30

    Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

    Published on: May 24, 2019

    5.8K
    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
    13:54

    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

    Published on: August 18, 2023

    6.2K
    Errors as a Means of Reducing Impulsive Food Choice
    07:07

    Errors as a Means of Reducing Impulsive Food Choice

    Published on: June 5, 2016

    9.3K

    Area of Science:

    • Psychological measurement
    • Personality psychology
    • Psychometrics

    Background:

    • Understanding individual responses to personality inventories is crucial for accurate psychological assessment.
    • Existing models often focus on direct item endorsement without fully integrating perceived semantic dimensions.

    Purpose of the Study:

    • To develop and test models relating individual endorsement of personality inventory items to their perceived semantic dimensions.
    • To investigate the relationship between item endorsement and semantic space representations.

    Main Methods:

    • Utilized multidimensional scaling (MDS) analyses on similarity judgments of adjective checklist items.
    • Computed multiple correlations between individual item endorsement and item locations on semantic dimensions.

    Main Results:

    • Median corrected multiple correlations were .81 for candid endorsements and .92 for faked endorsements.
    • These correlation values are comparable to the reliability of item endorsement across repeated administrations.

    Conclusions:

    • The proposed models effectively link item endorsement to perceived semantic dimensions in personality assessment.
    • Findings support the utility of these models for advancing personality measurement theory and practice.