The effects of intervention on muscle strength, balance and kinesiophobia were evaluated in an intention-to-treat analysis using one-way analysis of variance (ANOVA) on the difference between baseline and follow-up, followed by Bonferroni corrected post-hoc-tests when relevant.
Agreements with Hardy Weinberg equilibrium were tested using Pearson's chi-square test and Fischer's exact test when relevant.
The main safety and efficacy parameters for the treatment groups were compared at baseline, using analysis of variance (ANOVA) or Kruskal-Wallis test according to the variable distribution for quantitative parameters, and the Fisher's exact test when relevant.
The correlation average of A β plaque density, burden area, and antibody titers were analyzed and compared in multiple groups by one-way analysis of variance (ANOVA), followed by Fisher's LSD post hoc means comparison test analysis when relevant.
Stratified analyses explored potential effect modifiers of the association between sleep duration and mortality and the likelihood ratio tests were performed, when relevant, to verify statistical significance.
P values of less than 0.05 were considered significant, and corrections for multiple testing were mentioned when relevant.
Furthermore, no general acceptance of the expert's particular methodology has been established".(139) A year later in State v. Williams(140) the Ohio Court of Appeals interpreted Rule 702 as consistent with Frye by stating that "new scientific tests when shown to be relevant and to be generally accepted by the scientific community ought to be admitted into evidence.
Furthermore, no general acceptance of the expert's particular methodology has been established".(14) A year later in State v. Williams(15) the Ohio Court of Appeals interpreted Rule 702 as consistent with Frye by stating that "new scientific tests when shown to be relevant and to be generally accepted by the scientific community ought to be admitted into evidence.
Proportions were analyzed using the Chi-square test or Fisher's exact test (specified in the results when relevant).
All P values were two-sided, and P < 0.05 was considered statistically significant after correcting when relevant for multiple testing according to the Benjamini Yekutieli 2001 method.
This item is especially relevant for proteomics-based tests when the biomarker profile may be considerably different at different stages in disease.
