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After testing for homogeneity (I ≤50% or χ p≥0.05), the fixed effect model was used for homogeneous data and random model for heterogeneous data.
Testing for homogeneity of variance in the wavelet domain.
Data residuals were first checked for normal distribution, investigating the skewness and kurtosis z-values as well as the Shapiro-Wilk test p value, before testing for homogeneity of variance.
Early stage and advanced stage patients data were then compared by means of a two-sample t-test after testing for homogeneity of variance and normality.
Testing for homogeneity of multivariate morphology within lineages, BLUE males had significant inter-population variation, with BLUE males from Conway Ranges having significantly greater snout vent length, P<0.0001).
Testing for homogeneity of variance was performed with the Levene test.
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These formulations were tested for homogeneity and evaluated for their in vitro deposition using Aeroliser, Handihaler and Rotahaler devices.
Initially, to test for homogeneity of variance, the Bartlett's and Levene's tests were used.
Before performing ANOVA, all data were tested for homogeneity of variance using Levene's statistic.
Odds ratios were tested for homogeneity between countries using the Breslow-Day test.
Pearson chi-square tests were used to test for homogeneity of counts across cell lines.
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