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Reproducibility was assessed by estimating differences in mean CTs between Tecan workstations used to assemble RT and qPCR plates.
Moreover, we assessed construct validity by estimating differences in OHIP-14 and OIDP between groups according to socio-economic and behavioral characteristics.
Discriminative ability of the generic and CS OIDP was assessed by estimating differences in overall mean score and prevalence of oral impacts between clinically defined groups, through their respective effect sizes and adjusted odds ratios (ORs).
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The differentially expressed genes detected by DyNB as well as estimated differences in differentiation efficiencies for selected genes are validated using qRT-PCR.
We used linear regression analysis to estimate differences in score by level of exposure for the NBAS outcomes scored on a continuous scale; a lower score was associated with a poorer outcome.
Thus, by counting the matching transcripts one can estimate differences in gene expression between samples across a large dynamic range.
The study examined the impact of waste picking on MSDs by the estimated difference in the outcomes between the exposed workers (waste pickers) and the control group (non-waste pickers) using PSM.
In this, the significance of factors was tested by individually subtracting each factor in turn from the full model and comparing models by estimating the difference in deviance (G) between the two models.
We compared the primary outcome and secondary cessation outcomes between arms by estimating a difference in proportions and odds ratio with a 95% confidence interval, providing a P value from the associated χ test.
Analysis of covariance (with baseline score as the covariate) will be fitted to estimate differences by intervention group in changes over time at each time point.
All analyses were performed within the framework of longitudinal mixed models, The general idea behind mixed models for longitudinal data analysis is that an adjustment is made for the correlated outcome observations within individuals over time by estimating either the differences in average values of the outcome and/or the differences in relationships with time-dependent covariates.
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