Sentence examples for measures with robust from inspiring English sources

This study intends to give a better comprehension about this issue in Brazil, providing evidences from a large sample, using classical measures of SES and neuropsychological tasks based on traditional paradigms (besides IQ measures), with robust statistical analysis, that could be the basis for rethinking public policies that promote child development.

To make connections between psychiatric risk genes and brain measures, it may make sense to prioritize brain measures with robust case control differences.

Statistical analysis was performed using linear regression analysis with generalized estimating equations with exchangeable correlations to account for repeated measures with robust estimation of the variance.

However, few interventions were well documented, and the effects were rarely measured with robust methods.

The Upper Limb Functional Index (ULFI) is an internationally widely used outcome measure with robust, valid psychometric properties.

Availability of outcome measures (OMs) with robust psychometric properties is an essential prerequisite for the evaluation of interventions designed to address gait deterioration in young people with Cerebral Palsy (CP).

a Poisson regression was used for all measures, and with robust error variance for probabilities of at least one visit.

Repeated measure ANOVA with robust standard error and exchangeable working correlation matrix (compound symmetry) of generalized estimating equation (GEE) was used to determine the P values for the main effects of time and treatment and interaction effects of time by treatment.

There are currently no ankle fracture specific patient-reported outcome measures with a robust content foundation.

House and Senate negotiators could produce a compromise measure with the robust food stamp program the Senate wants, but such a bill would almost certainly have to pass the House with significant Republican defections.

Within-subject comparisons of scores were performed by means of a general linear regression model for repeated measures, with calculation of robust standard errors to account for within-subject correlation.