JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 39
Type: Contributed
Date/Time: Sunday, August 9, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract #317025
Title: A Normal-Mixture Model with Random Effects for Analyzing Heart Rate Variability
Author(s): Jessica Ketchum* and Alvin Best and Viswanathan Ramakrishnan
Companies: Georgia Regents University and Virginia Commonwealth University and Medical University of South Carolina
Keywords: RR-Interval ; Random-Effects ; Normal-Mixture ; EM algorithm ; SAS ; Heart Rate Variability
Abstract:

Measures on heart rate variability, such as the RR-interval, have been used extensively to indirectly assess the autonomic control of the heart. The distributions of these measures are not necessarily normally distributed, and current methodology for modeling these data does not typically incorporate this characteristic. Furthermore, the series of RR-intervals from a single subject is correlated and must be accounted for when modeling these data. In this presentation, an adaptation of the methodologies for fitting random-effects models is proposed with data from a mixture-normal distribution. We assume the random-effects are normally distributed, while the residuals follow a normal-mixture distribution. In our approach, with the use of an EM algorithm in SAS, the estimation can be achieved through existing software for random-effects models. The results from a simulation study are discussed along with examples of applications in different research settings.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home