Multistate Markov models for disease progression with classification error
CH Jackson, LD Sharples, SG Thompson… - Journal of the Royal …, 2003 - academic.oup.com
Many chronic diseases have a natural interpretation in terms of staged progression.
Multistate models based on Markov processes are a well-established method of estimating …
Multistate models based on Markov processes are a well-established method of estimating …
[PDF][PDF] Multi-state modelling with R: the msm package
C Jackson - Cambridge, UK, 2007 - cran.irsn.fr
The multi-state Markov model is a useful way of describing a process in which an individual
moves through a series of states in continuous time. The msm package for R allows a …
moves through a series of states in continuous time. The msm package for R allows a …
Multi-state models for panel data: the msm package for R
C Jackson - Journal of statistical software, 2011 - jstatsoft.org
Panel data are observations of a continuous-time process at arbitrary times, for example,
visits to a hospital to diagnose disease status. Multi-state models for such data are generally …
visits to a hospital to diagnose disease status. Multi-state models for such data are generally …
Estimation of Markov chain transition probabilities and rates from fully and partially observed data: uncertainty propagation, evidence synthesis, and model calibration
NJ Welton, AE Ades - Medical Decision Making, 2005 - journals.sagepub.com
Markov transition models are frequently used to model disease progression. The authors
show how the solution to Kolmogorov's forward equations can be exploited to map between …
show how the solution to Kolmogorov's forward equations can be exploited to map between …
Applications of continuous time hidden Markov models to the study of misclassified disease outcomes
A Bureau, S Shiboski, JP Hughes - Statistics in medicine, 2003 - Wiley Online Library
Disease progression in prospective clinical and epidemiological studies is often
conceptualized in terms of transitions between disease states. Analysis of data from such …
conceptualized in terms of transitions between disease states. Analysis of data from such …
Covariate adjustment of event histories estimated from Markov chains: the additive approach
Markov chain models are frequently used for studying event histories that include transitions
between several states. An empirical transition matrix for nonhomogeneous Markov chains …
between several states. An empirical transition matrix for nonhomogeneous Markov chains …
Multi‐state Markov models for analysing incomplete disease history data with illustrations for HIV disease
RC Gentleman, JF Lawless, JC Lindsey… - Statistics in …, 1994 - Wiley Online Library
Multi‐state Markov models can be useful in analysing disease history data. We apply the
general estimation methods of Kalbfleisch and Lawless to panel data in which individuals …
general estimation methods of Kalbfleisch and Lawless to panel data in which individuals …
Statistical models for longitudinal biomarkers of disease onset
EH Slate, BW Turnbull - Statistics in medicine, 2000 - Wiley Online Library
We consider the analysis of serial biomarkers to screen and monitor individuals in a given
population for onset of a specific disease of interest. The biomarker readings are subject to …
population for onset of a specific disease of interest. The biomarker readings are subject to …
Hidden Markov models for longitudinal comparisons
Medical researchers interested in temporal, multivariate measurements of complex diseases
have recently begun developing health state models, which divide the space of patient …
have recently begun developing health state models, which divide the space of patient …
Non-and semi-parametric estimation of transition probabilities from censored observation of a non-homogeneous Markov process
PK Andersen, LS Hansen, N Keiding - Scandinavian Journal of Statistics, 1991 - JSTOR
Non-homogeneous Markov process models for life history data are studied. We review
Aalen & Johansen's (1978) methodology for estimating transition probabilities in such …
Aalen & Johansen's (1978) methodology for estimating transition probabilities in such …