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 Experiment Videos

A computer program for an illness-death process with time-dependent covariates.

Y K Chiang, R J Hardy, C M Hawkins

    Computer Methods and Programs in Biomedicine
    |August 1, 1985
    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

    Evaluating the success of public participation in integrated catchment management.

    Journal of environmental management·2018
    Same author

    Acoustic behaviors of the microperforated panel absorber array in nonlinear regime under moderate acoustic pressure excitation.

    The Journal of the Acoustical Society of America·2018
    Same author

    Vortex sound radiation in a flow duct with a dipole source and a flexible wall of finite length.

    The Journal of the Acoustical Society of America·2017
    Same author

    Social Media in Medical Education.

    AJNR. American journal of neuroradiology·2014
    Same author

    Evaluating a New Risk Marker's Predictive Contribution in Survival Models.

    Journal of statistical theory and practice·2012
    Same author

    Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.

    Journal of digital imaging·2012

    This study introduces a computer program for analyzing illness-death processes with time-dependent factors. It aids in estimating transition probabilities and testing covariate effects in survival analysis models.

    Area of Science:

    • Biostatistics
    • Survival Analysis
    • Computational Statistics

    Background:

    • Stochastic models are crucial for understanding complex health processes like illness-death.
    • Incorporating time-dependent covariates enhances the accuracy of these models.
    • Estimating transition probabilities is key to analyzing disease progression and outcomes.

    Purpose of the Study:

    • To present a novel computer program for estimating transition probabilities in illness-death stochastic models.
    • To facilitate the analysis of time-dependent covariates within these models.
    • To provide a tool for hypothesis testing concerning covariate effects.

    Main Methods:

    • Maximum likelihood estimation.
    • Newton-Raphson iterative procedure for parameter estimation.

    Related Experiment Videos

  • Development of a computer program for stochastic model analysis.

    • Main Results:

    • The program accurately estimates transition probabilities in illness-death models.
    • It provides standard normal deviate statistics for hypothesis testing.
    • The methodology is applicable to models with varying numbers of states.

    Conclusions:

    • The developed program offers a robust computational tool for survival analysis.
    • It effectively handles time-dependent covariates in illness-death processes.
    • The program supports hypothesis testing for covariate significance in survival models.