Statistical significance was determined by unpaired or paired, two-tailed Student's t-test or one-way analysis of variance (ANOVA) with Tukey Kramer multiple comparisons post-testing as appropriate.
Co-testing with cytology and HPV allowed us not only the comparison between tests but also to speculate about different screening scenarios as testing was done blind to the other test result.
Rescorla [24] convincingly argued in favour of using this sort of analysis instead of a paired training-testing comparison, stressing the need to clearly distinguish between time of input (training session) and time of assessment (testing session).
*p < .05 for post-testing group comparison.
It's painstaking matching those molecules in plants to create the same sensory experience," said Brown, a vegan who still chews real meat when taste-testing for comparison, though he spits it out.
All multiple-testing comparisons were done using an unpaired two-class significance analysis of microarrays (SAM, http://www-stat.stanford.edu/~tibs/SAM/).edu/~tibs/SAM/
Analysis of the polymorphism site frequency data using SweeD reveals significant departures from neutrality at 15 of 16 gene/species comparisons after multiple-testing correction (Table 3).
Existing marginal comparison methods and the hypothesis testing-based methods either ignore correlations among responses or only reach Boolean conclusions (yes or no) without accounting for the amount of discrepancy between a model and the underlying reality.
Stakeholder discussions and interviews, comparison of existing tools, pilot-testing and additional stakeholder feedback one year after ClASS had been implemented, together resulted in the development of the ClASS framework, approach, assessment and review team composition and roles, modules and tools, a model for provision of technical assistance and implementation process [ 15].
The significance levels presented here are not adjusted for multiple testing: a Bonferroni correction would be inappropriate due to non-independence among the tests, and the multiple-testing issue is addressed by the comparison of observed and expected numbers of significant tests presented above.
The third is a series of objective and subjective speech quality testings among various approaches for comparison purposes.
