Sentence examples for score to control from inspiring English sources

The first includes dummy variables for highest educational attainment, quarters of work experience and tenure with the current employer (in linear and quadratic form)18, a cubic polynomial of high school math FCAT score (to control for academic selection effects)19, and demographic dummy variables (race, gender, and FRL eligibility).

Dunnett's test was used for comparisons of postoperative scores to the preoperative score to control the first type error.

†Models include modified Acute Physiology and Chronic Health Evaluation III score to control for severity of illness and Charlson index to control for underlying disease.

We also considered Deyo-Charlson Comorbidity Index (CCI) score and propensity score to control confounding and reduce bias in the background covariates between both cohorts in studies using healthcare administrative databases [ 28– 30].

We devised the variance stabilized t-type score by placing shrunken sample variances of the James-Stein type in the denominator of the t-type score to control the overestimation of variance.

Because students who join these study groups can have a wide range of abilities, these studies often use demographic information such as incoming grade point average (GPA) or Scholastic Aptitude Test (SAT) score to control for differences in the two populations.

For example, medical students at Oxford University had similar "health anxiety" scores to control groups comprised of non-medical students and non-students.

He often utilized film scores to control the impact of a scene and is famous for his collaborations musically with Bernard Herrmann and visually with Saul Bass, along with actors like Ingrid Bergman, Grace Kelly, Cary Grant, and James Stewart.

Participants were randomized to the groups after matching for sex, age, CES-D and OSPAN scores to control for the influence of these variables.

We compared niche breadth using standardized continuous suitability scores to control for effects of threshold suitability for predicted presence and differences in mean predicted suitability of habitat between models built using native and introduced points.

We used propensity scoring to control for selection bias.