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State Transition Modeling Of Complex Monitored Health Data, Jörn Schulz, Jan Terje Kvaløy, Kjersti Engan, Trygve Eftestol, Samwel Jatosh, Hussein Kidanto, Hege Ersdal

Faculty of Health Sciences, East Africa

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is …