A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma.

Amoros, Ruben; King, Ruth; Toyoda, Hidenori; Kumada, Takashi; Johnson, Philip J; Bird, Thomas G

Amoros, Ruben; King, Ruth; Toyoda, Hidenori; Kumada, Takashi; Johnson, Philip J; Bird, Thomas G.

Afiliación

Amoros R; 1School of Mathematics, University of Edinburgh, Edinburgh, EH9 3FD UK.
King R; 1School of Mathematics, University of Edinburgh, Edinburgh, EH9 3FD UK.
Toyoda H; 2Department of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Japan.
Kumada T; 2Department of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Japan.
Johnson PJ; 3Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Bird TG; 4Cancer Research UK Beatson Institute, Switchback Road, Glasgow, G61 1BD UK.

Metron ; 77(2): 67-86, 2019.

Article en En | MEDLINE | ID: mdl-31708595

Palabras clave

Change-point models; Disease detection; Hepatocellular carcinoma; Hidden Markov chains

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies / Screening_studies Idioma: En Revista: Metron Año: 2019 Tipo del documento: Article

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