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Statistical analysis utilized an independent sample t-test for all variables.
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To assess the performance of our Nanostring assay in FFPE samples, we utilized an independent cohort of patient-matched fresh-frozen and FFPE specimens (N = 45).
Furthermore, we utilized an independent approach to inhibit β-catenin signaling using siRNA-mediated downregulation of Ctnnb1 (β-catenin).
As all data were normally distributed an independent sample test was utilized for detecting statistical differences in ROM between the groups (SNAG versus sham).
For continuous variables, an independent sample t-test was utilized if their distribution was normal.
The performance of the 3 forest change assessment design alternatives Continuous forest inventory (CFI) design, utilizing permanent (remeasured) plots only Temporary plot design, where an independent sample is drawn at each occasion Sampling with Partial Replacement (SPR) design, utilizing a mixture of permanent and temporary plots.
We adopted a unique validation method mimicking postprandial conditions and utilizing an independent standard represented by the intravenous dextrose infusion.
The optimal method to demonstrate the sensitivity and specificity of these biomarkers is to utilize an independent dataset.
Utilizing an independent cohort of patients (cohort 3), we screened for cancer-related signaling proteins altered in PRDX1 positive tumors.
a Independent samples t-test.
The t test was utilized for independent samples to compare the control and treated groups at each time (T0, T1, and T2).
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