Probability of atrial fibrillation after ablation

Using a parametric nonlinear temporal decomposition mixed effects model

Jeevanantham Rajeswaran, Eugene H. Blackstone, John Ehrlinger, Liang Li, Hemant Ishwaran, Michael K. Parides

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Atrial fibrillation is an arrhythmic disorder where the electrical signals of the heart become irregular. The probability of atrial fibrillation (binary response) is often time varying in a structured fashion, as is the influence of associated risk factors. A generalized nonlinear mixed effects model is presented to estimate the time-related probability of atrial fibrillation using a temporal decomposition approach to reveal the pattern of the probability of atrial fibrillation and their determinants. This methodology generalizes to patient-specific analysis of longitudinal binary data with possibly time-varying effects of covariates and with different patient-specific random effects influencing different temporal phases. The motivation and application of this model is illustrated using longitudinally measured atrial fibrillation data obtained through weekly trans-telephonic monitoring from an NIH sponsored clinical trial being conducted by the Cardiothoracic Surgery Clinical Trials Network.

Original languageEnglish (US)
Pages (from-to)126-141
Number of pages16
JournalStatistical Methods in Medical Research
Volume27
Issue number1
DOIs
StatePublished - Jan 1 2018
Externally publishedYes

Fingerprint

Atrial Fibrillation
Mixed Effects Model
Ablation
Decompose
Clinical Trials
Time-varying
Nonlinear Mixed Effects Model
Binary Response
Binary Data
Longitudinal Data
Risk Factors
Random Effects
Surgery
Disorder
Covariates
Irregular
Determinant
Monitoring
Generalise
Methodology

Keywords

  • Binary longitudinal response
  • Mixed effects model
  • Multiphase model
  • Nonlinear model
  • Temporal decomposition
  • Time varying coefficient

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability
  • Health Information Management

Cite this

Probability of atrial fibrillation after ablation : Using a parametric nonlinear temporal decomposition mixed effects model. / Rajeswaran, Jeevanantham; Blackstone, Eugene H.; Ehrlinger, John; Li, Liang; Ishwaran, Hemant; Parides, Michael K.

In: Statistical Methods in Medical Research, Vol. 27, No. 1, 01.01.2018, p. 126-141.

Research output: Contribution to journalArticle

Rajeswaran, Jeevanantham ; Blackstone, Eugene H. ; Ehrlinger, John ; Li, Liang ; Ishwaran, Hemant ; Parides, Michael K. / Probability of atrial fibrillation after ablation : Using a parametric nonlinear temporal decomposition mixed effects model. In: Statistical Methods in Medical Research. 2018 ; Vol. 27, No. 1. pp. 126-141.
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