Therefore, here we conducted a systematic comparison between the two tests, using synthetic data, rare and common variants, with both case-control and continuous-valued phenotypes, and under various types of model misspecification.
The agreement of dichotomised test results between two tests was assessed using the kappa statistic.
Comparisons between two tests can be summarized using the difference or relative risk in S and C for the two tests.
The differences between two groups were tested using the Mann–Whitney test and among the three groups using a Kruskal Wallis test.
Comparisons between two groups were tested using an unpaired t-test.
The differences between two groups were tested using Student's two-tailed t-test.
Differences between two groups were tested using Student's t test.
Differences between two groups were tested using unpaired Student's t-test using SigmaStat software.
The correlations between two parameters were tested using the Spearman's rank correlation test.
Correlation between two variables was tested using Spearman's rank correlation coefficient.
