Sentence examples for covariance testing from inspiring English sources

The association between polymorphisms and MOD scores was assessed using analysis of covariance testing with age, sex ratio and ISS to adjust for possible confounding effects.

The association between polymorphisms and MOD scores was performed using analysis of covariance testing with age, sex ratio, and injury severity to adjust for possible confounding effects.

Plasticity was strongly correlated with greater complexity, as shown by their covariance tested either under the threshold model (Felsenstein, 2012) (r = 0.78, confidence interval 0.57 0.93) or a constant-variance random-walk model (r = 0.45; log Bayes factor = 20).

SYD = Symptoms Domain FD = Function Domain PD = Psychological Domain SSD = Self-image/Social interaction Domain PDD = Parental Distress Domain FFD = Family Function Domain * T-test † covariance tests considering caries severity as covariable Different letters (A, B) mean statistically different results (p < 0.05).

To ensure that the ages of the mice did not affect the results, we corrected our statistical tests of average CR performance, response probability, and response amplitude across sessions 9 12 and the CR timing parameters, using analysis of covariance tests with age (days) as a covariant with post hoc Tukey's tests (Piochon et al., 2014).

Correction for potentially confounding variables (i.e., age) was performed using analysis of covariance tests with the confounding variable as the covariant and followed by Tukey's post hoc tests.

The first eight covariates to enter the model all gave significant values of the covariance test statistic.

Therefore, the distance covariance test of independence detects any nonlinear and nonmonotone dependence between two random variables [63].

Therefore, we used distance correlation, distance covariance, and distance covariance test of independence [63,64] to address possible nonlinear dependencies between the variables under study.

Multivariate correlation and covariance test and a general linear regression model were used to evaluate relationships between contaminants: TDS and methane, and tested surrogates.

Analysis of covariance test was used to adjust for age.