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All amino acid differences between both treatment groups were evaluated by statistical inference using two-tailed Fisher's exact test, and a p-value<0.05 was considered significant.
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Discuss statistical inference using confidence intervals and tests of significance.
This also prevented statistical inference using bootstrapped trees, and the topology from the Bayesian phylogeny was limited by several polytomies (supplementary fig. S2 B, Supplementary Material online).
Empirical Bayes methods are designed to leverage aspects of both Bayesian and frequentist statistical inference by using the powerful and flexible reasoning tools of Bayesian statistics, but exploiting the massively parallel structure of the data to infer prior probability distributions in a frequentist-type setting.
49 51 52 Confidence intervals of the relative excess risk for interaction were estimated for statistical inferences by using the standard delta method described by Hosmer and Lemeshow 51 53 (for categorical arsenic exposure) and bootstrap method with 1000 bootstrap samples (for continuous exposure measure).
The imputation model contained percentage breast density and all variables listed in Tables 1 and 2. For statistical analyses, each model was fit separately to the 10 imputed datasets, and the results combined for statistical inferences by using the methods of Rubin [ 32].
Hypothesis testing is a form of statistical inference that uses data from a sample to draw conclusions about a population parameter or a population probability distribution.
Statistical inference was conducted using the negative binomial GLM fitting and Wald significance tests.
Statistical inference was obtained using the Wald test.
Statistical inference was performed using a significance level of 0.05.
Statistical inference was conducted using the R package TopGo (Alexa et al. 2006).
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