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Multiple comparisons were analyzed by ANOVA followed by the appropriate post-hoc analyses.
Aging related comparisons were analyzed by ANOVA followed by Bonferroni's multiple comparison test between the age groups and also a Student's t-test was used for within age-group comparisons (4 vs. 12 months, 22 vs. 30 months).
Otherwise all comparisons were analyzed by ANOVA.
Single comparisons were analyzed by the Student's t-test.
Multiple comparisons were analyzed by Anova followed by post-hoc analysis to adjust the significance level.
Categorical variables were recorded as frequency counts, and intergroup comparisons were analyzed by chi-squared test.
Similar(33)
The significance levels of the differences between the allele frequencies for the all comparison were analyzed by the Kolmogorov-Smirnov test.
Genotype frequency of the subjects specified by different genetic models (additive, dominant, recessive and homozygote comparison) was analyzed by multivariate logistic regression adjusted for covariates.
All quantitative data are presented as mean±S.D. Whenever necessary, statistical significance of the data comparison was analyzed by performing one-sample or paired two-tailed t-tests.
On the other hand, two-way ANOVA showed that the hormone treatment considerably affected the results (F 1,45) = 10.19, P = 0.0026, Figures 1(a) and 1(c)), though no effects were seen when each time-point comparison was analyzed by Bonferroni's post-test.
All intra- and intergroup comparisons were analyzed either by a two-tailed t-test or one-way ANOVA followed by multiple comparisons Bonferroni correction.
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