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With a modest number of primary analyses, a simple Bonferroni correction is typically applied to help control the Type I error rate.
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For primary analyses, an "intention-to-treat" strategy will be employed, such that each subject is analyzed in the group to which he or she is randomized, regardless of actual compliance with the intended intervention.
Statistical tests of the primary analyses used a two-sided 0.05 level of significance; a Bonferroni correction was applied for pairwise comparisons of non-microbiologic methods.
The primary analyses indicated a slightly inverse association with all ASDs and a suggestion that associations may differ by case subgroups.
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6920/12/82/prepub In this study, students of the Department of Psychology of Utrecht University participated in collecting data and primary analyses and a former colleague, Hetty van Emmerik contributed as a coach to these students.
The primary analyses used a time-to-event approach and included all randomized participants without diabetes.
The primary analyses detected a significant increased risk of GDM with consumption of eggs.
In line with previous studies (10, 17, 35), our primary analyses utilized a presence/absence measure of smoking.
The primary analyses revealed a significant interaction effect indicating that adherence patterns over time differed between the groups.
The primary analyses used a dichotomous anticipated help-seeking variable (⩽2 weeks vs >2 weeks) as used in previous analyses (Robb et al, 2009).
The primary analyses were a series of growth curves examining longitudinal mean subscale scores from the IIEF among men undergoing VMMC.
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