Beyond time-homogeneity for continuous-time multistate Markov models
Author:
Affiliation:
1. Department of Statistics, North Carolina State University
2. Centre for Advanced Study, Norwegian Academy of Science and Letters
3. University of Oslo
4. Peace Research Institute Oslo (PRIO)
5. CERTARA UK Limited, Simcyp Division, Level 2-Acero
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2388609
Reference52 articles.
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2. Aalen O. O. Farewell V. T. De Angelis D. Day N. E. and Nöel Gill O. (1997) ‘A Markov model for HIV disease progression including the effect of HIV diagnosis and treatment: application to AIDS prediction in England and Wales’ Statistics in medicine 16(19) 2191–2210.
3. Aalen O. O. and Johansen S. (1978) ‘An empirical transition matrix for non-homogeneous Markov chains based on censored observations’ Scandinavian Journal of Statistics pp. 141–150.
4. Andersen P. K. Borgan O. Gill R. D. and Keiding N. (2012) Statistical models based on counting processes Springer Science & Business Media.
5. Aspinall W. Carniel R. Jaquet O. Woo G. and Hincks T. (2006) ‘Using hidden multi-state Markov models with multi-parameter volcanic data to provide empirical evidence for alert level decision-support’ Journal of volcanology and geothermal research 153(1-2) 112–124.
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