The normality assumption for parametric ANOVA and ANCOVA may be violated due to outliers and skewness of data. Nonparametric methods, robust statistics, and data transformation may be used to address the nonnormality issue. However, there is no simultaneous comparison for the four statistical ...
skewnesskurtosispercentage pointsmodegammadigammaIn this paper, we first obtain three generalized forms of the standard logistic distribution. These are derived by compounding an extreme-value distribution of the doubly exponential type, a reduced log-Weibull distribution and an exponential-gamma ...
disordered eating; however, due to inconsistent findings on how physical activity affects disordered eating and limited research comparing types of physical activity across weight control behaviours, our aim was to validate physical activity categorization across disordered eating components in both men and...
Descriptive statistics were used to characterize the study sample. The Kolmogorov–Smirnov test was used to assess the variables distribution. In order to reduce the skewness of data, we transformed non-normally distributed variables [total daily insulin dosage (TDD), basal and bolus insulin units]...
(for example, NHANES data) in a previous study88and other research on assessment of population dietary intake89,90, as it is nonnegative and includes a wide range of shapes with varying degrees of skewness91. Standard deviation (s.d.) needed to be obtained to construct the gamma ...
We did not expect to find a normal distribution in the data, but we visually checked for extreme skewness. We then used the Mclust package (Scrucca et al., 2016) to fit a model based on the indicator variables for both the ADOS and SRS data separately. Mclust uses an expectation ...
As the distribution of HbA1c levels was highly skewed, we used log transformation to reduce the skewness and stabilize the variance [36]. Owing to nonlinearity, we categorized age, dividing it into ordinal categories at 10- or 20-year intervals. The age range of 10 to 19 years included ...
Cut points for categorization were chosen to be clinically meaningful and that best fit the data to address skewness. This has been further described elsewhere [2, 3]. Age at first metformin dispensation and sex assigned at birth were also controlled for in the analysis. An adapted Diabetes ...
(75%, 100%) were analyzed separately. Data were evaluated to ensure ANOVA assumptions were met, in particular the assumption of the normality of the residuals. None of the residuals had measures of skewness or kurtosis that exceeded ± 2, which is one indication of acceptable normality [...
the dietary factors based on the analysis of GDD input data (for example, NHANES data) in a previous study9 and other research on assessment of population dietary intake77,78, as they do not allow for negative intakes and include a wide range of shapes with varying degrees of skewness79. ...