A nonparametric approach to QT interval correction for heart rate.

Wang, D; Cheung, YB; Arezina, R; Taubel, J; Camm, AJ; (2010) A nonparametric approach to QT interval correction for heart rate. Journal of biopharmaceutical statistics, 20 (3). pp. 508-22. ISSN 1054-3406 DOI: https://doi.org/10.1080/10543400903581952

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We propose to use generalized additive models to fit the relationship between QT interval and RR (RR = 60/heart rate), and develop two new methods for correcting the QT for heart rate: the linear additive model and log-transformed linear additive model. The proposed methods are compared with six commonly used parametric models that were used in four clinical trial data sets and a simulated data set. The results show that the linear additive models provide the best fit for the vast majority of individual QT-RR profiles. Moreover, the QT correction formula derived from the linear additive model outperforms other correction methods.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Medical Statistics
PubMed ID: 20358433
Web of Science ID: 277587700003
URI: http://researchonline.lshtm.ac.uk/id/eprint/3911


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