The phrase "adjust for significant" is not complete and lacks context, making it difficult to determine its correctness in written English.
It could be used in contexts related to statistical analysis or data interpretation, where adjustments are made based on significant factors or variables.
Example: "In our analysis, we need to adjust for significant variables that may affect the outcome."
Alternatives: "account for significant" or "modify for significant".
However, this univariate comparison did not adjust for significant confounding factors/covariates, an important limitation to the study.
Because the housekeeper gene is not affected by the treatment, the Ct and the efficiency of amplification could be used to adjust for significant difference in the starting concentration of mRNAs.
Furthermore, we will adjust for significant covariates.
To adjust for significant baseline differences (see Table 1), we used generalized estimating equation (GEE) in the R package Zelig [ 15].
To adjust for significant inter-hormonal correlations additional partial correlations were calculated, controlling for estradiol/progesterone influence on the correlations between performance and hormone levels, respectively.
ANOVA and logistic regression for multivariate analyses will be used to adjust for significant differences identified at baseline between intervention and usual care groups in the outcome analyses.
After adjusting for significant predictors, regression analysis showed no significant association between inpatient rehabilitation and change in PCS scores.
By adjusting for significant LD and DIF in the analyses face valid items can be kept in the scale.
However, significant differences in FABP7 levels by 21-day mortality were not ascertained after adjusting for significant covariates reflecting severity of illness (MELD, vasopressor dependence).
However, significant differences in FABP7 levels by 21-day mortality were not ascertained after adjusting for significant covariates (reflecting severity of illness).
However, a significant association between 21-day mortality and increased serum FABP7 early [log FABP7 odds ratio (OR) 1.16, p = 0.32] and late (log FABP7 ~ OR 1.34, p = 0.21) was not detected after adjusting for significant covariates (MELD, vasopressor use).
