title: The use of statistics in heart rhythm research: a review.
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.
authors.affiliation: Department of Biostatistics, School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana. Electronic address: chashen@iu.edu.
authors.forename: Changyu
authors.initials: C
authors.lastname: Shen
authors.affiliation: Department of Biostatistics, School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana.
authors.forename: Zhangsheng
authors.initials: Z
authors.lastname: Yu
authors.affiliation: Department of Biostatistics, School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana.
authors.forename: Ziyue
authors.initials: Z
authors.lastname: Liu
mesh_terms: D006339:Heart Rate / Q000502:physiology*; D012107:Research Design; D013223:Statistics as Topic
keywords: Case-control study; Cohort study; Competing risk; Confidence interval; Correlated data; Hypothesis testing; Multiple comparison; Receiver operating characteristic; Summary statistics; Time-to-event analysis