State transition modeling of complex monitored health data

DOI10.1080/02664763.2019.1698523OpenAlexW2993578600WikidataQ126665768 ScholiaQ126665768MaRDI QIDQ5861400

Jörn Schulz, Jan Terje Kvaløy, Samwel Jatosh, Hussein Kidanto, Trygve Eftestøl, Hege Ersdal, Kjersti Engan

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1698523

zbMATH Keywords

Aalen-Johansen estimatormulti-state modelsAalen's linear modelmonitored health datastate transition intensity

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• invGauss
• addreg
• SiZer

Cites Work

• Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
• Survival and event history analysis. A process point of view
• Scale space view of curve estimation.
• Joint Models for Longitudinal and Time-to-Event Data
• Dynamic Analysis of Multivariate Failure Time Data
• Hysteretic autoregressive time series models
• SiZer for Exploration of Structures in Curves
• Dynamic Analysis of Recurrent Event Data Using the Additive Hazard Model

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