2015
DOI: 10.31631/2073-3046-2015-14-5-6-12
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Parametric and Nonparametric Methods in Medical Statistics

Abstract: The article is devoted to the conditions of applicability of parametric and nonparametric methods, including criticism of frequent methodological errors. By using methods of parametric statistics often make the wrong conclusion that to test the applicability of methods of parametric statistics need to find out whether there are significant differences resulting from the normal allocation of the pilot. Doing this is not necessary, as any encountered in biomedical research component is distributed clearly abnorm… Show more

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Cited by 11 publications
(4 citation statements)
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“…To check the applicability of parametric statistics methods, we calculated the values of skewness ration and kurtosis. The value for all numerical indicators that we used turned out to be quite small, which made it possible to use the contrast of means using analysis of variance [16].…”
Section: Discussionmentioning
confidence: 99%
“…To check the applicability of parametric statistics methods, we calculated the values of skewness ration and kurtosis. The value for all numerical indicators that we used turned out to be quite small, which made it possible to use the contrast of means using analysis of variance [16].…”
Section: Discussionmentioning
confidence: 99%
“…The significance of the difference in frequencies between the compared groups was determined using the chi-square test (for the two groups, Fisher's exact solution). Sufficiently large size of compared groups and small values of asymmetry coefficients of kurtosis allowed using methods of parametric statistics [12]. For numerical data and data in scores, their characteristic values are presented as mean and standard deviation (±) and median with 25 th and 75 th percentiles.…”
Section: Methodsmentioning
confidence: 99%
“…The correctness of using the methods of parametric statistics was checked by analyzing the values of correlation, skewness, and kurtosis [2] using SPPS Statistics 22 software (IBM). The differences were significant at p<0.05.…”
Section: Methodsmentioning
confidence: 99%