Mann–WhitneyU-test, or Dunnett’st-test, where appropriate. The associations between or among the clinical characteristics were determined by Pearson’s chi-squared test or Fisher’s exact test. The linear discriminant analysis effect size (LEfSe,https://huttenhower.sph.harvard.edu/galaxy...
We tested whether excluding these trials would significantly alter the distribution of response proportions in the stimulus-response contingency table, using a randomization test based on the chi-squared statistic8. We found that contingency tables were statistically indistinguishable (Supplementary Fig. S1e...
Chi-squared test was applied to assess the normality of data distribution. Homogeneity of variation was evaluated using Levene test. Data were log-transformed to obtain normality. Normally distributed data are presented as geometric means and analyzed using t test for independent samples with Welch co...
There are various statistical tests that can be used, depending on the type of data being analyzed. However, some of the most common statistical tests are t-tests, chi-squared tests, and ANOVA tests. Types of Statistical Tests When working with statistical data, several tools can be used to...
We also performed a two-way ANOVA, similar to that for the cTBS cohort, to test for the effects of cueing (cued, uncued) and stimulation condition (sham, stim) on the parameters: We observed a statistically significant main effect of cueing only on hit rates (F1,25 = 84.53,p ...
There are various statistical tests that can be used, depending on the type of data being analyzed. However, some of the most common statistical tests are t-tests, chi-squared tests, and ANOVA tests. Types of Statistical Tests When working with statistical data, several tool...
For group-level analyses, the functional connectivity was conducted by two-sample T-test and paired T-test using SPM8 software (two-tailed, p < 0.05, Monte Carlo Simulations correction). The reported statistics were color-coded and mapped in Talairach space. Finally, for the regions of ...
where 𝜒2𝛼2(𝜈)χα22(ν) is the right-tailed 𝛼/2α/2 percentile for the chi-squared distribution with 𝜈ν degrees of freedom. Proof 1. Since the pivotal quantity 𝑔1(𝜏)=2𝜏 ⎜⎜1𝑏+(s+1)𝑋𝑛−𝑠+∑𝑖=2𝑛−𝑠𝑋𝑖−(𝑛−1)𝑋...
To detect a simple correlation (r = 0.25) with 80% power and a 5% significance level (two-tailed; α = 0.05; β = 0.2), the minimal sample size was calculated to be 123 cases. The chi-squared test was used for categorical data comparison. We performed statistical analyses with ...