We used multivariate analyses to control for diverse covariates.
The spoken test language at home and the parents' highest educational level were used in subsequent analyses to control for disadvantaged home environments.
In particular, this bias has been repeatedly shown to exist in self assessments of emotions [32, 33], requiring careful response formats, scales, and analyses to control for it.
I conduct analyses to control for companies' complexity, their selection for (non) tax certified individual auditors, and the selection of individual auditors to become tax consultants or not.
Energy intake measured for the same meal consumed the previous day (baseline day, no preload consumed) was used in the data analyses to control for individual differences in energy intake.
We were intrigued to discover that when using multiple regression analyses to control for various factors, parental attitude towards evolution (but not parent educational level) positively predicted students' acceptance of evolution but had no independent effect on students' understanding of natural selection.
To address this consideration, we ran analyses to control for differences in behavioral performance during the fMRI task across groups.
Previously, Nunn [10] obtained residuals from the regression of estrous synchrony on female number, and used those residuals in the analyses to control for the association between female number and estrous synchrony.
There was no evidence of confounding by any of the covariates included in the models, however we have chosen to include them in all analyses to control for even minor confounding.
Future studies using careful experiments or analyses to control for depth, substrate type, and sampling area will be required to quantify structural differences between seamount and non-seamount habitats and clarify processes regulating these patterns.
In short, instead of adjusting the transcript abundance measures for RIN, we performed two parallel analyses to control for RNA integrity (i) by only including high RNA quality samples, and (ii) by removing all probes from the analysis that had a significant RIN effect at p<0.05.
