Sentence examples for using the ancova test from inspiring English sources

In this study, a multiple regression approach for assessing land use impact on groundwater quality and quantity was developed by using the ANCOVA test to select regression model variables from key input variables to a widely used and well-calibrated SWAT (Soil and Water Assessment Tool) model system.

The significance of differences in satisfaction VAS scores was determined using the ANCOVA test.

Thus, we analyzed the effect of DR on the straylight using the ANCOVA test to exclude the bias of age.

Using the one-way ANCOVA test, the two rates of decay were not found to be significantly different (F = 0.61; p = 0.44).

Comparisons of parameters between groups were made using Mann–Whitney U-test and Kruskal Wallis H-test, and comparisons after adjustment for confounding factors were performed using ancova test.

Using the common ancova approach, we tested whether the strength (i.e. the slope) of the trade-off varied with the identity of pathotype or host variety.

Differences in clinical characteristics among subjects grouped by genotype were assessed using the analysis of covariance (ANCOVA) test, with age and BMI as covariates.

Because female size may also affect egg mass, we analyzed these data using ancova to test the effects of range (native or invasive) and maternal carapace length on egg weight.

We used the false discovery rate method of Benjamini and Hochberg [ 16] to minimize the risk of type I errors in the use of multiple ANCOVA tests in the assessment of between group, age and gender differences within each measurement category.

When the ANCOVA result was significant, we used the Ryan Einot Gabriel Welsch (REGWQ) test to compare food type effect.

For the other four regions, where time of persistence was almost always the full 30 years of the simulation runs, I compared the coefficient of variation of annual rain volume, longest wet period, and peak shoot mass using an ANCOVA to test how changes in rain pattern affected environmental and production variability.