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Published on: May 23, 2021
The use of statistics in heart rhythm research: a review
Changyu Shen1, Zhangsheng Yu1, Ziyue Liu1
1Department of Biostatistics, School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana.
Abstract:
In this article, we provide a brief review of key statistical concepts/methods that are commonly used in heart rhythm research, including concepts such as standard deviation, standard error, confidence interval, statistical/clinical significance, correlation coefficients, multiple comparisons, cohort and case-control studies, and missing data, as well as methods such as statistical hypothesis testing, receiver operating characteristic curve, binary vs time-to-event outcome, competing risk methods, and analysis of correlated data. We also make recommendations on how related statistical procedures should be applied and results should be reported.
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