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T1  - Errors-in-Variables Modeling of Personalized Treatment-Response Trajectories 
SN  -  /  
UR  - http://hdl.handle.net/10138/331683 
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A1  - Zhang, Guangyi; Ashrafi, Reza A.; Juuti, Anne; Pietiläinen, Kirsi; Marttinen, Pekka 
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PB  -  
Y1  - 2021 
LA  - eng 
AB  - Estimating the impact of a treatment on a given response is needed in many biomedical applications. However, methodology is lacking for the case when the response is a continuous temporal curve, treatment covariates suffer extensively from measurement error, and even the exact timing of the treatments is unknown. We introduce a novel method for this challenging scenario. We model personalized treatment-response curves as a combination of parametric response functions, hierarchically sharing info... 
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KW  - Trajectory; Measurement errors; Mathematical model; Informatics; Market research; Data models; Blood; Treatment-response trajectories; Bayesian methods; errors-in-variables; hierarchical models; Gaussian processes; wearable self-monitoring devices; time-series data; 3111 Biomedicine; 113 Computer and information sciences 
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