Sentence examples for analyses of the variable from inspiring English sources

Exact(2)

Phylogenetic analyses of the variable (see below) and constant (data not shown) exons showed that these genes are orthologous to zebrafish DrPcdh1α genes.

In these analyses, the demographic variables were forced into each model along with those variables that met the 0.15 criterion in the individual analyses of the variable groupings.

Similar(58)

Furthermore, analyses of the variable-region gene sequences revealed clear evidence of significant somatic mutation, isotype switching, receptor revision, codon insertion/deletion, and oligoclonal expansion, suggesting that affinity maturation had occurred within the B cell and plasma cell populations [ 44].

First, descriptive analyses of the variables will be done for all variables.

The results of analyses of the variables that could be correlated with survival time are shown in Table  2.

Analyses of the variables were performed to determine their distribution types and the statistical tools that were applicable.

20 The univariate analyses of the variables associated with energy expenditure at baseline were based on Pearson's χ test and analysis of variance with multiple Bonferroni comparisons.

Descriptive, univariate and multivariate analyses of the variables were performed using appropriate descriptive tests and logistic regression modelling, respectively, with R program.

Collinearity analyses of the variables included in the models showed no sign of multicollinearity, that is, the undesirable situation where one independent variable is a linear function of other independent variables.

The results of the univariate/multivariate analyses of the variables, including IDO expression, age, FIGO stage, grade, myometrial invasion, and lymph-vascular space involvement, with respect to OS and PFS are shown in Tables 2 and 3, respectively.

Collinearity analyses of the variables included in the regression model showed no sign of multicollinearity, which is the undesirable situation in which one independent variable is a linear function of other predictors.

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