The use of statistics in heart rhythm research: A review

Changyu Shen, Zhangsheng Yu, Ziyue Liu

Research output: Contribution to journalArticle

3 Citations (Scopus)

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

Research
ROC Curve
Case-Control Studies
Confidence Intervals

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

The use of statistics in heart rhythm research : A review. / Shen, Changyu; Yu, Zhangsheng; Liu, Ziyue.

In: Heart Rhythm, Vol. 12, No. 6, 01.06.2015, p. 1376-1386.

Research output: Contribution to journalArticle

@article{fbc18bc0f76b4044a2cda659874b1a0e,
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.",
keywords = "Case-control study, Cohortstudy, Competingrisk, Confidence interval, Correlateddata, Hypothesistesting, Multiple comparison, Receiveroperatingcharacteristic, Summarystatistics, Time-to-event analysis",
author = "Changyu Shen and Zhangsheng Yu and Ziyue Liu",
year = "2015",
month = "6",
day = "1",
doi = "10.1016/j.hrthm.2015.03.016",
language = "English (US)",
volume = "12",
pages = "1376--1386",
journal = "Heart Rhythm",
issn = "1547-5271",
publisher = "Elsevier",
number = "6",

}

TY - JOUR

T1 - The use of statistics in heart rhythm research

T2 - A review

AU - Shen, Changyu

AU - Yu, Zhangsheng

AU - Liu, Ziyue

PY - 2015/6/1

Y1 - 2015/6/1

N2 - 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.

AB - 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.

KW - Case-control study

KW - Cohortstudy

KW - Competingrisk

KW - Confidence interval

KW - Correlateddata

KW - Hypothesistesting

KW - Multiple comparison

KW - Receiveroperatingcharacteristic

KW - Summarystatistics

KW - Time-to-event analysis

UR - http://www.scopus.com/inward/record.url?scp=84930361516&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84930361516&partnerID=8YFLogxK

U2 - 10.1016/j.hrthm.2015.03.016

DO - 10.1016/j.hrthm.2015.03.016

M3 - Article

C2 - 26002137

AN - SCOPUS:84930361516

VL - 12

SP - 1376

EP - 1386

JO - Heart Rhythm

JF - Heart Rhythm

SN - 1547-5271

IS - 6

ER -