While helmet use can be reliably measured via other techniques, such as direct observation, ascertaining and assigning race and ethnicity by observation raises both normative and measurement issues (Smith 2001; Kraemer et al. 2012; Kraemer et al. 2015).
Age, co-morbid conditions, sex, and race were ascertained from participant interview.
We ascertained demographic characteristics including race, income, education, marital status, age at diagnosis, and employment status by self-reported data at the time of the survey.
A multinomial regression model was performed to ascertain the effects of age, race and ethnicity on the likelihood of suffering specific injuries, such as gunshot wounds, motor vehicle, motorcycle, pedestrian, stabbing or other injuries.
The logistic regression model, using a penalized likelihood ratio test, was then performed to ascertain the effects of age, race, ISS, TRISS, ICU days and hospital length of stay on the likelihood that patients would survive their injuries.
We ascertain patient demographics (age, gender, race, education) through both administrative (from USRDS CMS-2728 form) and clinical data, where available.
During the interview, we ascertained participant's age, sex, race, educational attainment, health insurance status, annual household income, and history of hypertension and/or diabetes.
We dream about getting cast on The Amazing Race and try to ascertain just how we would squabble with our loved one while trotting the globe.
He had looked behind him to ascertain his exact position in the race when he clipped the wall.
Since we presented each physician with only one hypothetical patient scenario (featuring a patient of either White or African American race), we were unable to ascertain whether individual physicians' practice patterns would have changed if they saw patients of different races.
