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Consideration is given to implications of analysis for unreplicated and replicated data, to statistical power, and to statistical tests for difference and equivalence.
Statistical analyses, including χ tests for difference in proportions, t tests for difference in means and Kaplan-Meier survival analysis, were performed using Stata VII.
b P-value from likelihood ratio tests for difference between unexposed and exposed groups.
bP-value from likelihood ratio tests for difference between unexposed and exposed groups.
Spatial autocorrelation between populations may bias tests for difference in genetic distance and genetic variation [ 30].
Tests for difference between exposure categories were evaluated by either trend tests or tests for homogeneity, as relevant.
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Statistical tests for differences in categorical variables used Fishers' Exact test.
Statistical comparisons of host and HEG data allowed us clear tests for differences in evolutionary histories.
We tested for differences among the Asian subgroups within each year and tested for change over time within each subgroup using two-sample tests for differences of proportions.
We used Fisher's exact tests for differences in proportions, t-tests for differences in means, and logistic regression for multivariable analysis.
We used two-sided Fisher's exact tests for differences in proportions, two-sided t-tests for differences in means, and logistic regression for multivariable analysis.
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