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

MARKOV: a computer program for multi-state Markov models with covariables

G Marshall1, W Guo, R H Jones

  • 1Departamento de Estadistica, Pontificia Universidad Católica de Chile, Casilla, Santiago.

Computer Methods and Programs in Biomedicine
|July 1, 1995
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

Suppression of pair beam instabilities in a laboratory analogue of blazar pair cascades.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Search for the in-situ production of <math><mmultiscripts><mrow></mrow> <mrow></mrow> <mn>77</mn></mmultiscripts></math> Ge in the GERDA neutrinoless double-beta decay experiment.

The European physical journal. C, Particles and fields·2025
Same author

Measurement of the <sup>85</sup>Kr specific activity in the GERDA liquid argon.

The European physical journal. C, Particles and fields·2025
Same author

Searches for new physics below twice the electron mass with GERDA.

The European physical journal. C, Particles and fields·2024
Same author

Calibration and characterization of optical and x-ray streak cameras using a Ti:Sapphire laser system.

The Review of scientific instruments·2024
Same author

Final Results of GERDA on the Two-Neutrino Double-β Decay Half-Life of ^{76}Ge.

Physical review letters·2023
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
See all related articles

This study introduces MARKOV, a computer program for multi-state Markov models in survival analysis. It estimates disease progression factors, aiding in understanding conditions like diabetic retinopathy.

Area of Science:

  • Biostatistics
  • Survival Analysis
  • Computational Biology

Background:

  • Multi-state Markov models are crucial for analyzing complex disease progression.
  • Survival data analysis requires robust computational tools for accurate modeling.

Purpose of the Study:

  • To present MARKOV, a novel computer program for fitting multi-state Markov models with covariates.
  • To demonstrate the program's utility in analyzing survival data, particularly for disease progression.

Main Methods:

  • The program fits k-1 transient and 1 absorbing state Markov models.
  • Maximum likelihood estimation with a quasi-Newton algorithm is employed for parameter estimation.
  • Covariables are incorporated to assess their influence on transition intensities.

Related Experiment Videos

Main Results:

  • MARKOV provides parameter estimates, standard errors, correlation matrices, and log-likelihood values.
  • The program can generate survival curves and perform simple parameter tests.
  • Application to diabetic retinopathy in young insulin-dependent diabetics illustrates its functionality.

Conclusions:

  • MARKOV offers a comprehensive tool for analyzing complex survival data using multi-state Markov models.
  • The program facilitates the identification of factors influencing disease progression.
  • Its application in diabetic retinopathy highlights its potential in clinical research.