The significance level of hypothesis tests in most common models will not change (Tosteson and Tsiatis 1988), but confidence limits will broaden as point estimates move away from the null.
The aromatase family offers an example where a combination of phylogenetic analysis, molecular evolutionary analysis, and chemical analysis set within the context of the paleontological and geological records, and supported by contemporary bioinformatics and molecular modeling tools, permits a higher order level of hypothesis generation concerning the function of proteins.
Exploratory testing at the 5%% level of hypotheses related to the two primary outcomes were carried out without correction for multiple testing: two-sided Mann–Whitney U test and, where applicable, Kruskal Wallis test were used for testing the null hypotheses of no systematic differences between subgroups (sex, age etc). in improvement from baseline to 2 years.
As shown in our simulation results, a large deviation from the nominal significance level of the hypothesis test can be found even under the null hypothesis.
In order to focus on more significant genes, we rose the significance level of the hypothesis testing in the parallelized SWNI algorithm to delete nodes with lower significant.
The results on levels of trust, hypothesis 4 to hypothesis 6, should alert policy makers to the disparity between the views of the public and 'expert' stakeholders.
To be useful in a research or clinical laboratory, the results need to be translated to the level of testable hypotheses about individual genes and proteins within the condition of interest.
Three trends are expected for the links between job satisfaction and its purported effects: job satisfaction will be negatively related with levels of burnout (Hypothesis 1), job search activities (Hypothesis 2) and turnover (Hypothesis 3) (See additional file 1 for a graphic illustration of these hypotheses in an analytical framework).
This shows the advantage of the Bayesian framework, because it allows the selection of appropriate level of complexity of hypotheses, which is not possible in the traditional hypothesis testing approach.
Section 'Examples' includes limited simulation studies of the significance level and power of hypothesis tests based on the RMST difference under non-PH and PH.
Simple p-values are, however, of limited use in the context of high levels of multiple hypothesis testing.
