Multistate Markov Model to Predict the Prognosis of High-Risk Human Papillomavirus-Related Cervical Lesions

Multistate Markov Model to Predict the Prognosis of High-Risk Human Papillomavirus-Related Cervical Lesions

Cervical intraepithelial neoplasia (CIN) has a natural history of bidirectional transition between different states. Therefore, conventional statistical models assuming a unidirectional disease progression may oversimplify CIN fate. We applied a continuous-time multistate Markov model to predict thi...

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Bibliographic Details
Main Authors: Ayumi Taguchi, Konan Hara, Jun Tomio, Kei Kawana, Tomoki Tanaka, Satoshi Baba, Akira Kawata, Satoko Eguchi, Tetsushi Tsuruga, Mayuyo Mori, Katsuyuki Adachi, Takeshi Nagamatsu, Katsutoshi Oda, Toshiharu Yasugi, Yutaka Osuga, Tomoyuki Fujii
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Cancers
Subjects:
cervical intraepithelial neoplasia
high-risk human papillomavirus
multistate markov model
retrospective cohort study
survival analysis
Online Access:https://www.mdpi.com/2072-6694/12/2/270

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https://www.mdpi.com/2072-6694/12/2/270

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