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Altogether, this work highlights the power of a biomarker discovery approach based on large-scale data generation and unbiased data analysis, followed by robust validation using various independent samples sets.
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Missing values on health outcomes and the various independent variables further restricted the sample used for analyses (this is further documented later in the paper).
Independent samples t-tests were also performed to examine various group differences in alcohol abstinence self-efficacy.
Comparisons between means in the western blot and EMSA assays among the various treatment groups were analyzed by two-tailed Student's t-Test for independent samples.
The non-parametric Mann–Whitney U test for independent samples was used to test for group effects on the various dependent measures at the three assessment times (A = before treatment; B = immediately after treatment; C = three months after treatment).
This study conducted an independent samples t test on each dimension of the survey for respondents of various educational backgrounds.
Student's t-test for independent samples was used to compare the mean ONSD values and mean eICP values between various groups.
Using independent samples of 223 patients, PFTK1 expression was evaluated immunohistochemically to assess the relationship between expression and various clinicopathological parameters.
An independent samples t-test was conducted.
Results were analyzed by independent samples.
Independent samples t tests were carried out.
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