Hidden mover‐stayer model for disease progression accounting for misclassified and partially observed diagnostic tests: Application to the natural history of human papillomavirus and cervical precancer-Reference-Cited by-同舟云学术

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Hidden mover‐stayer model for disease progression accounting for misclassified and partially observed diagnostic tests: Application to the natural history of human papillomavirus and cervical precancer

Published:2021-04-12 Issue:15 Volume:40 Page:3460-3476
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Aron Jordan¹,Albert Paul S.¹^ORCID,Wentzensen Nicolas²,Cheung Li C.¹^ORCID

Affiliation:

1. Biostatistics Branch, Division of Cancer and Epidemiology National Cancer Institute Rockville Maryland USA

2. Clinical Genetics Branch, Division of Cancer and Epidemiology National Cancer Institute Rockville Maryland USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8977

Reference19 articles.

1. A Markov Model for Analysing Cancer Markers and Disease States in Survival Studies

2. A Markov Model for Sequences of Ordinal Data from a Relapsing-Remitting Disease

3. Modeling Repeated Measures with Monotonic Ordinal Responses and Misclassification, with Applications to Studying Maturation

4. Hidden Markov Models for Time Series

5. Statistical Methods for the Mover-Stayer Model

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multistate models for the natural history of cancer progression;British Journal of Cancer;2022-07-11

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