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

Longitudinal Research02:20

Longitudinal Research

13.2K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.2K
Exponential Growth01:29

Exponential Growth

47
Bacterial populations exhibit exponential growth when conditions such as nutrient availability and temperature are favorable. In this phase, cells reproduce through binary fission, where each cell divides into two identical daughter cells. This process causes the population to double at regular intervals, resulting in a growth rate that is directly proportional to the current number of cells. As the population increases, the number of new cells formed during each generation also grows, creating...
47
Exponential and Sinusoidal Signals01:18

Exponential and Sinusoidal Signals

698
The exponential function is crucial for characterizing waveforms that rise and decay rapidly. This continuous-time exponential function is defined using exponential terms with constants α and A. When both constants are real, the function is represented as,
698
Exponential Fourier series01:24

Exponential Fourier series

704
In audio signal processing, the exponential Fourier series plays a crucial role in sound synthesis, allowing complex sounds to be broken down into simpler sinusoidal components. This decomposition process is fundamental in analyzing and reconstructing musical notes and other audio signals. The exponential Fourier series expresses periodic signals as the sum of complex exponentials at both positive and negative harmonic frequencies, providing a powerful tool for signal analysis.
Euler's identity...
704
Longitudinal Studies01:26

Longitudinal Studies

494
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
494
Sound Intensity00:58

Sound Intensity

4.7K
The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
4.7K

You might also read

Related Articles

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

Sort by
Same author

Use of Claims Data to Screen for Functional Limitations Among Medicare Beneficiaries.

JAMA health forum·2026
Same author

Effect of plain cigarette packaging on point-of-sale purchasing behavior among young adults who smoke.

Health psychology : official journal of the Division of Health Psychology, American Psychological Association·2026
Same author

The Patient Experience Divide: How Income Relates to Care Quality in the Primary Care Setting.

Medical care·2026
Same author

Poppers, nitrous, and beyond: Patterns of inhalant use across sexual identity groups in the U.S., 2021-2023.

The International journal on drug policy·2026
Same author

Removing Tobacco Price Discounts from the Retail Point-of-Sale Exterior Reduces Young Adults' Future Cigarette Smoking Susceptibility: an Experimental Investigation.

Addictive behaviors·2026
Same author

High potency cannabis flower use is associated with heavier consumption and risk for cannabis use disorder among young adults in California, United States.

Addiction (Abingdon, England)·2025
Same journal

Addressing selective reporting bias in meta-analysis of dependent effect sizes: A tutorial in R.

Psychological methods·2026
Same journal

Heterogeneous variance models with Gaussian processes.

Psychological methods·2026
Same journal

Bayesian evaluation for latent variable models: A tutorial on computing information criteria and bayes factors with the r package bleval.

Psychological methods·2026
Same journal

A stochastic block prior for clustering in graphical models.

Psychological methods·2026
Same journal

Three-level vector autoregressive models.

Psychological methods·2026
Same journal

Scaling cognitive modeling to big data: A deep learning approach to studying individual differences in evidence accumulation model parameters.

Psychological methods·2026
See all related articles

Related Experiment Video

Updated: Jan 26, 2026

High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence
07:25

High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence

Published on: February 23, 2021

4.5K

An exponential effect persistence model for intensive longitudinal data.

Claude M Setodji1, Steven C Martino1, Michael S Dunbar1

  • 1RAND Corporation.

Psychological Methods
|April 19, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an effect persistence model for longitudinal data, showing how exposure effects decay exponentially over time. This model helps analyze repeated exposures and their diminishing impact on outcomes like smoking susceptibility.

More Related Videos

Modeling Persistent Pseudomonas aeruginosa Infection in Wounded Zebrafish Larvae
06:04

Modeling Persistent Pseudomonas aeruginosa Infection in Wounded Zebrafish Larvae

Published on: June 13, 2025

618
A Reproducible Intensive Care Unit-Oriented Endotoxin Model in Rats
05:56

A Reproducible Intensive Care Unit-Oriented Endotoxin Model in Rats

Published on: February 20, 2021

2.5K

Related Experiment Videos

Last Updated: Jan 26, 2026

High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence
07:25

High-throughput Screening of Chemical Compounds to Elucidate Their Effects on Bacterial Persistence

Published on: February 23, 2021

4.5K
Modeling Persistent Pseudomonas aeruginosa Infection in Wounded Zebrafish Larvae
06:04

Modeling Persistent Pseudomonas aeruginosa Infection in Wounded Zebrafish Larvae

Published on: June 13, 2025

618
A Reproducible Intensive Care Unit-Oriented Endotoxin Model in Rats
05:56

A Reproducible Intensive Care Unit-Oriented Endotoxin Model in Rats

Published on: February 20, 2021

2.5K

Area of Science:

  • Biostatistics
  • Epidemiology
  • Psychology

Background:

  • Understanding the long-term impact of repeated exposures is crucial in public health and behavioral science.
  • Existing models may not adequately capture the diminishing effect of interventions or environmental factors over time.

Purpose of the Study:

  • To develop and validate an effect persistence model for intensive longitudinal data.
  • To assess the decay of exposure effects over time, specifically examining adolescent susceptibility to smoking after prosmoking advertisement exposure.

Main Methods:

  • Proposed a semilinear model with extensions to generalized linear models.
  • Assumed an exponential loss of association between exposure and outcome over time.
  • Investigated model performance under correct and incorrect assumption specifications.

Main Results:

  • The developed model effectively captures the diminishing impact of repeated exposures.
  • Demonstrated the model's applicability in analyzing real-world data, such as media exposure and smoking susceptibility.
  • Evaluated the robustness of the model to assumption violations.

Conclusions:

  • The effect persistence model provides a valuable tool for analyzing longitudinal data with decaying exposure effects.
  • Offers insights into the dynamics of exposure-outcome relationships, particularly in adolescent health behaviors.
  • Highlights the importance of considering temporal decay in intervention and exposure assessments.