Examples of demographic characteristics include age, race, gender, ethnicity, religion, income, education, home ownership, sexual orientation, marital status, family size, health and disability status, and psychiatric diagnosis.
For example, patient level clinical variables might include: Age, baseline disease severity, sex, gender, ethnicity, comorbidities, genetic, other psychosocial variables, and other important features of the disease [ 2, 3, 7, 16].
For example, we do not include age-specific differences in the rates of progression to disease or the risks of reinfection.
For example, spontaneously occurring OA models (which include aged animals or transgenic animals that develop OA as an effect of a transgene) allow following the development of OA from the early to the late stages, but are relatively costly and time consuming and present with more variability in the disease phenotype.
Our initial examples use risk models including age, smoking, systolic blood pressure and total cholesterol (model 1 of Table 1).
An example is the Framingham Risk Score including age, sex, obesity, hypertension, parental history of diabetes, low levels of high-density lipoprotein cholesterol, elevated triglyceride levels, and impaired fasting glucose [ 21].
For example, for health data, a patient's record includes age, height, weight, address, and measurements.
Second, the study seeks to investigate the hypothesis that this level of research activity in this area is equivalent to some other example chronic conditions including age-related macular degeneration (AMD).
Examples include the Silver Age of Latin literature, which began about ad 18 following the end of the Golden Age, and the Decadent movement at the end of the 19th century in France and England.
The New York City campaign, for example, included 26 girls who ranged in age, race, ethnicity, size, shape and ability.
