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Data analyses were explored using a combination of global tests (analysis of variance and Kruskal-Wallis, appropriateand) and pairwise comparisons controlling the experiment-wise error rate (Tukey's honestly significant differences test).
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Bivariate analyses were explored using Chi-2 tests and a p-value of p < 0.05 was considered statistically significant.
Haplotype analyses: Haplotype associations were explored using score tests that account for linkage phase ambiguity [ 50].
Prior to combined analyses the combinability of the data were explored using incongruence length difference/partition homogeneity test (ILD/PHT) [67], [68] implanted in PAUP.
Risk factors for cognitive impairment were explored using multivariable analyses.
Sources of heterogeneity were explored using subgroup analyses.
Associations between demographic variables and beliefs were explored using χ analyses.
Alternative assumptions about vaccine efficacy and waning, vaccination coverage rate, vaccination age and HPV type distribution were explored using sensitivity analyses.
The relationships between the presence/absence of each guild and environmental variables were explored using logistic regression analyses.
The relationships between soil spectra and plasticity were explored using various statistical analyses techniques such as cluster analysis and cross tabulation.
These associations were explored using simple univariable analyses.
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