Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progression
Author:
Publisher
Oxford University Press (OUP)
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
http://academic.oup.com/biostatistics/article-pdf/9/4/750/18601017/kxn008.pdf
Reference21 articles.
1. Longitudinal analysis of repeated binary data using autoregressive and random effect modelling
2. A Markov Model for Sequences of Ordinal Data from a Relapsing-Remitting Disease
3. A Random Effects Transition Model For Longitudinal Binary Data With Informative Missingness
4. A two-state Markov chain for heterogeneous transitional data: a quasi-likelihood approach
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4. Developing a clinical–environmental–genotypic prognostic index for relapsing-onset multiple sclerosis and clinically isolated syndrome;Brain Communications;2021-10-01
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