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Using STATA 12, we calculated 2 tailed P-values setting significance at 0.05.
This may be partly a consequence of setting significance thresholds that fail genes due to the smaller size for the E3KO and BL31 groups (3 samples each).
The alpha spending function approach to setting significance levels will be used.
To correct for multiple comparisons, an experiment-wise Bonferroni correction factor was applied for the main RSWA measure comparisons, setting significance at an alpha of P < 0.01.
According to the statistical formula n = tpq/d2 (where n, t, p, q and d are sample size, t value, positive rate, negative rate and acceptable error, respectively), assuming a GERD prevalence of 10%, and setting significance at P = 0.05 and acceptable error at 2%, the calculated sample size was 864 [ 16].
We tested the regression coefficients in the model using the likelihood ratio test and the Wald statistic setting significance at α = 0.05.
Similar(54)
We set significance at P ≤ 0.05.
With this modification in input variables set, significance increasing in regression coefficient (R 2) was observed.
Least squares regression was used to map loci affecting the analyzed traits, and permutation tests were used to set significance thresholds.
For this reason, there is no need to set significance thresholds to select the marker genes.
However, attempts to set significance thresholds that captured all such genes resulted in an unacceptable number of false positives.
Related(20)
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