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Outcome Prediction for Heart Failure Telemonitoring Via Generalized Linear Models with Functional Covariates
Author(s) -
BARALDO STEFANO,
IEVA FRANCESCA,
PAGAI ANNA MARIA,
VITELLI VALERIA
Publication year - 2013
Publication title -
scandinavian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.359
H-Index - 65
eISSN - 1467-9469
pISSN - 0303-6898
DOI - 10.1111/j.1467-9469.2012.00818.x
Subject(s) - covariate , hazard , proportional hazards model , generalized linear model , heart failure , hazard ratio , outcome (game theory) , statistics , mathematics , econometrics , medicine , confidence interval , chemistry , organic chemistry , mathematical economics
. An effective methodology for dealing with data extracted from clinical surveys on heart failure linked to the Public Health Database is proposed. A model for recurrent events is used for modelling the occurrence of hospital readmissions in time, thus deriving a suitable way to compute individual cumulative hazard functions. Estimated cumulative hazard trajectories are then treated as functional data, and they are used as covariates along with clinical survey data within the framework of generalized linear models with functional covariates.