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- Title
Probability of atrial fibrillation after ablation: Using a parametric nonlinear temporal decomposition mixed effects model.
- Authors
Rajeswaran, Jeevanantham; Blackstone, Eugene H.; Ehrlinger, John; Liang Li; Ishwaran, Hemant; Parides, Michael K.; Li, Liang
- 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.
- Subjects
ABLATION techniques; ATRIAL fibrillation risk factors; MULTILEVEL models; RANDOM effects model; CLINICAL trials; ATRIAL fibrillation; CHAOS theory; RESEARCH funding; RISK assessment
- Publication
Statistical Methods in Medical Research, 2018, Vol 27, Issue 1, p126
- ISSN
0962-2802
- Publication type
journal article
- DOI
10.1177/0962280215623583