The use of statistics in heart rhythm research: A review

Changyu Shen, Zhangsheng Yu, Ziyue Liu

Research output: Contribution to journalArticle

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1376-1386
Number of pages11
JournalHeart Rhythm
Volume12
Issue number6
DOIs
StatePublished - Jun 1 2015

    Fingerprint

Keywords

  • Case-control study
  • Cohortstudy
  • Competingrisk
  • Confidence interval
  • Correlateddata
  • Hypothesistesting
  • Multiple comparison
  • Receiveroperatingcharacteristic
  • Summarystatistics
  • Time-to-event analysis

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

Cite this