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Gene sampling frequencies were scaled by unit variance to avoid domination by genes with high abundance and high variance.
Statistical analysis of pooled sequencing data needs to appropriately model this additional variance to avoid inflating the false-positive rate.
All features are standardized to have zero mean and unit variance to avoid scaling issues or dominance of certain omics types.
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Unadjusted estimates of the relative risk quantifying the cross-sectional relationship between hormones, divided into quartiles, and outcomes were generated with the modified Poisson regression approach, which uses the robust variance estimator to avoid bias in interval estimation and corresponding significance tests (25).
Thus, the max-
Treatments analyzed at the plot scale (B, S, Fg, Gr, Sh, Th, and Leg) were tested against the variance between plots to avoid pseudoreplication, whereas treatments analyzed on the subplot scale (Ew, Ew×S, and Ew×Fg) were tested against the variance between subplots [36].
Analysis of variance is used to avoid this problem.
A large variance was used to avoid generating simulation data with big values, described in more detail below.
These dynamics are shown in Fig. 3 where initial population densities below the Allee threshold require a minimum amount of genetic variance in order to avoid extinction.
The k-means algorithm was repeated 100 times, and the solution that minimized within-cluster variance was chosen to avoid the influence of random initial cluster membership on our results.
The modified Poisson regression model, a model that uses a robust error variance, was preferred to avoid under estimation of the standard errors for the estimated risk ratios that is usually the case with logistic regression modelling when the prevalence of the outcome is greater than 10%% [ 17, 18].
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