The analysis involved a two-sided hybrid G-test with Yates correction plus an applied Fisher's exact test; 0.95 confidence intervals were calculated by asymptotic approach with continuity correction and multiple test correction involved Storey's False Discovery Rate method.
Differently from analytical models that use only the geometrical optics approach with no correction for the stress-optical effects, here the refractive index is corrected at every bending angle to consider the stress-optical effects observed polymer optical fibers.
Based on the above econometric model, the data was analyzed using the random effect panel regression approach with a correction for the heteroscedasticity of the standard error.
For correlation and prediction of binary diffusivity, the Enskog kinetic approach with density correction, the Liu Silva Macedo (LSM) model, and the Eaton Akgerman (EA) model were evaluated.
Relative expression of target mRNA was normalized against EEF1A1 mRNA, because it displayed the least variation within the microarray experiments, and quantified using a relative quantification approach with efficiency correction (Pfaffl et al., 2002).
This approach estimates divergence with correction for polymorphisms segregating within lineages and alleviates the effect of an apparent acceleration of the rate of recent sequence evolution due to segregation of deleterious polymorphisms [ 54].
The corrected 1D analytical approach with acoustic length correction is then used to predict transmission loss of Helmholtz resonator with neck extension and expansion chamber with extended inlet/outlet.
For the purpose of detecting two-locus models, an exhaustive regression-based approach with a conventional correction for multiple tests is more powerful than multi-stage regression conditioning on significant main effects [18].
In this section, a multiple simultaneous hypothesis testing approach with a Bonferroni correction by Holms 101 was used to contrast a single performance measure strategy with the multiple performance measure strategy proposed here.
We account for these three issues by proposing a random effects approach with a bias correction for cases which are difficult to estimate due to low or high rates of non-participation or HIV prevalence.
