Jove
Visualize
Contact Us

Related Experiment Videos

Modeling and optimization in early detection programs with a single exam.

Giovanni Parmigiani1, Steven Skates, Marvin Zelen

  • 1Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21205, USA. gp@jhu.edu

Biometrics
|March 14, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Benchmarking reliability and calibration of LLMs for multi-cancer early detection test communication.

JAMIA open·2026
Same author

Pan-Cancer Genomic Scars of Alternative End Joining and Single-Strand Annealing.

bioRxiv : the preprint server for biology·2026
Same author

Multivariate causal effects: a Bayesian causal regression factor model.

Biometrics·2026
Same author

A Longitudinal Comprehensive Biospecimen and Clinical Data Repository for Cancer Early Detection: The InAdvance Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

A Gene Expression Tumor Signature Optimizing Partial Area-Under-the-Curve (pAUC) to Improve Specificity for Indolent Prostate Cancer.

The Prostate·2026
Same author

Web-Based User Interface for Fam3PRO: A Multigene, Multicancer Risk Prediction Model for Families With Cancer History.

JCO clinical cancer informatics·2026
Same journal

Interim analysis in sequential multiple assignment randomized trials for survival outcomes.

Biometrics·2026
Same journal

Acknowledgment of Referees 2025.

Biometrics·2026
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
See all related articles
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

Determining the optimal timing for a single screening examination is crucial for early disease detection efficacy. This study provides a framework to calculate the best age for a one-time screening, considering disease progression and individual health benefits.

Area of Science:

  • Health policy
  • Preventive medicine
  • Biostatistics

Background:

  • Screening examinations are vital for early detection of occult diseases.
  • The timing of these examinations significantly impacts the overall efficacy of early detection strategies.
  • Designing effective early detection programs requires careful consideration of examination timing.

Purpose of the Study:

  • To introduce a flexible decision-making framework for designing early detection programs.
  • To investigate the optimal timing for a single screening examination per individual.
  • To explore the relationship between optimal screening age and disease progression (sojourn time) distributions.

Main Methods:

  • Development of a theoretical framework linking optimal examination time to sojourn time distributions.

Related Experiment Videos

  • Derivation of closed-form solutions for optimal screening age using two distinct utility functions.
  • Analysis of how disease natural history and utility function specifications influence the optimal timing.
  • Main Results:

    • The study provides a method to determine the optimal age for a single screening examination.
    • Results show that optimal timing is sensitive to both the disease's natural history and the chosen utility function.
    • The framework is applied to the specific case of colorectal cancer screening using once-only sigmoidoscopy or colonoscopy.

    Conclusions:

    • A flexible framework exists for optimizing single-visit screening program timing.
    • Understanding disease progression and defining appropriate utility functions are key to determining optimal screening ages.
    • This approach can enhance the effectiveness of early detection programs, such as for colorectal cancer.