Non-homogeneous continuous-time Markov chain with covariates: applications to ambulatory hypertension monitoring

DOI10.1002/SIM.9707zbMATH Open1545.62261MaRDI QIDQ6625731

Joonha Chang, Hei Kit Chan, Jeffrey Lin, Wenyaw Chan

Publication date: 28 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

stochastic modelingnon-homogeneous Poisson processhypertensionlongitudinal categorical datatime-dependent rate

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• Simulation of nonhomogeneous poisson processes by thinning
• Generalized log-logistic proportional hazard model with applications in survival analysis
• Nonhomogeneous, continuous-time Markov chains defined by series of proportional intensity matrices
• Non-homogeneous Markov process models with informative observations with an application to Alzheimer's disease
• Effect of dimensionality on the Nelder–Mead simplex method
• Simulating Multivariate Nonhomogeneous Poisson Processes Using Projections
• Analysis of Longitudinal Multinomial Outcome Data
• A Simplex Method for Function Minimization

This page was built for publication: Non-homogeneous continuous-time Markov chain with covariates: applications to ambulatory hypertension monitoring

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6625731)