2016
DOI: 10.22237/jmasm/1462076520
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Outlier Impact and Accommodation Methods: Multiple Comparisons of Type I Error Rates

Abstract: A Monte Carlo simulation study was conducted to examine outliers' influence on Type I error rates in ANOVA and Welch tests, and the effectiveness of two outlier accommodation methods: nonparametric rank based method and Winsorizing. Recommendations are given regarding outlier handling with different sample sizes and number of outliers.

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Cited by 48 publications
(31 citation statements)
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“…Outliers in charge amounts were addressed by Winsorizing data to the next highest data point within three standard deviations (SD) of the mean. 19 A test of the assumptions prior to conducting a one-way analysis of variance to identify differences in charges by injury location and injury type revealed heterogeneity across groups; therefore, we used non-parametric tests. The Kruskal-Wallis test was used to examine statistically significant differences in median charges by areas of injury on the body and charges by types of injury.…”
Section: Methodsmentioning
confidence: 99%
“…Outliers in charge amounts were addressed by Winsorizing data to the next highest data point within three standard deviations (SD) of the mean. 19 A test of the assumptions prior to conducting a one-way analysis of variance to identify differences in charges by injury location and injury type revealed heterogeneity across groups; therefore, we used non-parametric tests. The Kruskal-Wallis test was used to examine statistically significant differences in median charges by areas of injury on the body and charges by types of injury.…”
Section: Methodsmentioning
confidence: 99%
“…All four DDS17 subscale scores and the Blood Sugar Testing subscale of the SDSCA required log transformation; the DDS17, PHQ-9 and GAD-7 total scores required square root transformation. Outliers (scores more than 3 SDs above the mean) were addressed using the winsorizing technique, in which outliers are replaced with the mean value plus 3 SDs [78]. Winsorizing is recommended to reduce the impact of outliers on the Type 1 error rate [78].…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, we observe that recurrence -free survival times of the patients with tumor grade II and III have few outliers and positively-skewed distributed. Liao et al (2016) suggests that Kruskal-Wallis test should be used in such cases. Therefore, this test is also utilized along with ANOVA to compare groups.…”
Section: One-way Analysis Of Variancementioning
confidence: 99%