Understanding one-way ANOVA using conceptual figures

Analysis of variance (ANOVA) is one of the most frequently used statistical methods in medical research. The need for ANOVA arises from the error of alpha level inflation, which increases Type 1 error probability (false positive) and is caused by multiple comparisons. ANOVA uses the statistic F, whi...

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Veröffentlicht in:Korean journal of anesthesiology Jg. 70; H. 1; S. 22 - 26
1. Verfasser: Kim, Tae Kyun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Korea (South) The Korean Society of Anesthesiologists 01.02.2017
Korean Society of Anesthesiologists
대한마취통증의학회
Schlagworte:
analysis of variance
false positive reactions
Statistical Round
statistics
마취과학
Statistics
False positive reactions
Analysis of variance
ISSN:2005-6419, 2005-7563
Online-Zugang:Volltext
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Zusammenfassung:Analysis of variance (ANOVA) is one of the most frequently used statistical methods in medical research. The need for ANOVA arises from the error of alpha level inflation, which increases Type 1 error probability (false positive) and is caused by multiple comparisons. ANOVA uses the statistic F, which is the ratio of between and within group variances. The main interest of analysis is focused on the differences of group means; however, ANOVA focuses on the difference of variances. The illustrated figures would serve as a suitable guide to understand how ANOVA determines the mean difference problems by using between and within group variance differences.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
G704-000679.2017.70.1.009
ISSN:2005-6419
2005-7563
DOI:10.4097/kjae.2017.70.1.22