Sentence examples for for potential imbalance from inspiring English sources

This ability to statistically control for potential imbalance may be necessary given the non-random treatment allocation used in our "on-off" design.

Then, to account for potential imbalance in baseline characteristics and to improve the precision of estimates, we will test the primary hypothesis using a logistic regression model with quit attempts as the outcome variable and include baseline characteristics, tobacco dependence, selected baseline variables, and study group as independent variables.

Furthermore, some have advocated for the use of regression adjustment to estimate the effect of treatment after adjusting for potential imbalances in prognostically important baseline covariates between treatment groups.

Health-related quality of life (HRQoL) for responders and non-responders was estimated by modelling EQ-5D™ index data from PREVA in an ordinary least squares regression analysis to control for potential imbalances at baseline between treatment arms.

Adjustment made using aggregate values will not account for potential imbalances between study arms resulting from the lack of randomisation.

Furthermore, the analysis included the baseline CDRS-R score as a covariate in order to adjust for potential imbalances in this scale at baseline that may affect HRQL.

The difference in global response between groups remained significant after adjustment for potential imbalances, including duration of treatment and central line status [ 3].

Multivariate regression will be used to adjust for potential imbalances in major baseline confounders such as the extent of brain injury (and sociodemographic variables).

Modeling differences between study arms is important in order to correct for potential imbalances within studies which could bias the results.

The covariates were included to adjust for potential imbalances between the baseline characteristics from the CMPD (used to estimate short-term mortality) and the SICS study cohort.

To determine if covariates impact the primary outcome variables, and to adjust for potential imbalances in randomization, both primary endpoints will be further tested via a multivariate model (SAS PROC MIXED).