Markov-modulated marked Poisson processes for modeling disease dynamics based on medical claims data
From MaRDI portal
Publication:6626904
DOI10.1002/sim.9832zbMath1548.62379MaRDI QIDQ6626904
Sina Mews, Bastian Surmann, Svenja Elkenkamp, Lena Hasemann
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
hidden Markov modelmaximum likelihoodcontinuous timeinformative observation timeschronic obstructive pulmonary diseasedisease process
Cites Work
- Unnamed Item
- A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness
- Markov modulated Poisson process associated with state-dependent marks and its applications to the deep earthquakes
- Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement
- Multistate capture-recapture models for irregularly sampled data
- A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma
- Markov-Modulated Nonhomogeneous Poisson Processes for Modeling Detections in Surveys of Marine Mammal Abundance
- Non-homogeneous Markov process models with informative observations with an application to Alzheimer's disease
- Semi-Markov Models for Multistate Data Analysis with Periodic Observations
- A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data
- A Bayesian Random‐Effects Markov Model for Tumor Progression in Women with a Family History of Breast Cancer
- Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years Later
- Mixed Hidden Markov Models
- Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
- Mixed‐effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study
- Bayesian latent multi‐state modeling for nonequidistant longitudinal electronic health records
Related Items (1)
This page was built for publication: Markov-modulated marked Poisson processes for modeling disease dynamics based on medical claims data