Fitting joint models of longitudinal observations and time to event by sequential Bayesian updating.

McKeigue, Paul

McKeigue, Paul.

Affiliation

McKeigue P; Usher Institute, 151025University of Edinburgh, Teviot Place, EH8 9AG, Scotland, UK.

Stat Methods Med Res ; 31(10): 1934-1941, 2022 10.

Article in En | MEDLINE | ID: mdl-35642267

Subject(s)

Biometry; Biostatistics; Bayes Theorem; Biometry/methods; Linear Models; Longitudinal Studies; Models, Statistical; Normal Distribution

Key words

Joint modelling; Kalman filter; biomarkers; clinical prediction; sequential Bayesian updating; state-space models; survival analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biostatistics / Biometry Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Stat Methods Med Res Year: 2022 Document type: Article Affiliation country: United kingdom

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