Outcome Prediction for Heart Failure Telemonitoring Via Generalized Linear Models with Functional Covariates

DOI10.1111/j.1467-9469.2012.00818.xzbMath1364.62254OpenAlexW1959449373WikidataQ61915973 ScholiaQ61915973MaRDI QIDQ2852619

Francesca Ieva, Valeria Vitelli, Stefano Baraldo, Anna Maria Paganoni

Publication date: 9 October 2013

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

Full work available at URL: http://hdl.handle.net/2434/233393

zbMATH Keywords

generalized linear modelsfunctional data analysispublic health databaserecurrent events processes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)

Related Items (3)

Best estimation of functional linear models ⋮ Functional modeling of recurrent events on time‐to‐event processes ⋮ Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data

Uses Software

• R
• COBS
• invGauss

Cites Work

• Unnamed Item
• Nonparametric estimation of a process mean from censored data
• Maximum penalized likelihood estimation in a Gamma-frailty model
• COBS: qualitatively constrained smoothing via linear programming
• Semiparametric inference for a general class of models for recurrent events
• Generalized functional linear models
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• Statistical models based on counting processes

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