PMID: 11933036Apr 5, 2002Paper

Functional data analysis with application to periodically stimulated foetal heart rate data. I: functional regression

Statistics in Medicine
Sarah J RatcliffeGillian Z Heller

Abstract

Functional regression is used to model longitudinal data where the number of measurements on the functional covariate is much greater than the number of subjects in the study. Thus, functional regression can be thought of as singular longitudinal analysis. We have modified existing functional regression techniques to the case of a functional covariate with a repeated stimulus. We applied this modified functional regression to periodically stimulated foetal heart rates. The heart rate tracings were used as a predictor of the child's psychomotor development at approximately 18 months of age. In the past, this type of data has been analysed using the partially subjective concept of habituation. By using the entire heart rate tracings through functional regression, we have the advantage that habituation does not need to be defined and all available information is used to predict later child development.

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Citations

Sep 14, 2002·Prenatal Diagnosis
Mar 21, 2013·BMC Medical Research Methodology·Shahid Ullah, Caroline F Finch
Apr 12, 2012·Developmental Science·Peter G HepperCatherine Lynch
Aug 3, 2018·Development and Psychopathology·Janet A DipietroKathleen A Costigan
Apr 28, 2005·Mental Retardation and Developmental Disabilities Research Reviews·Janet A DiPietro
Oct 17, 2018·Scientific Reports·Pierre MasselotPierre Gosselin
Sep 19, 2017·International Statistical Review = Revue Internationale De Statistique·Philip T ReissR Todd Ogden
May 16, 2021·Analytical and Bioanalytical Chemistry·Rola HouhouThomas Bocklitz
Dec 7, 2021·Statistical Methods in Medical Research·Bo Chen, Wei Xu

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