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Concern for endogeneity was addressed by collecting data on several variables that might serve as suitable instruments for the econometric work and measures of otherwise-unobserved sources of heterogeneity.
We also lacked consistent data on several variables such as the post-infection onset duration of mechanical ventilation.
These models included data on several variables including traffic, meteorology, roadway geometry, vehicle emission, air quality, and land use.
Considering potential limitations, our cohort study had incomplete or missing data on several variables known to be associated with bladder cancer, such as smoking and occupational exposures.
We also had incomplete data on several variables known to be associated with colorectal cancer, such as obesity, a family history of colorectal cancer, smoking, alcohol consumption, or other unhealthy lifestyle factors.
Each record contains data on several variables, such as personal identity codes, age at admission, gender, hospital identifier code, admission and discharge dates, nature of injury (N-code), and external cause of injury (E-code).
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In the advanced search, the WoS allows the researcher to analyze data based on several variables including types of documents, research areas, source titles, publication years, countries, and languages of published documents.
Discriminant analysis, a data classification technique, is a procedure that uses information on several variables and predicts the group to which a subject belongs based on those variables.
Data were collected on several variables that were expected to affect the HR-QOL.
Data was collected on several variables by questionnaire and during the examination, including: age, race/ethnicity, education (available for those 20 years and older), poverty/income ratio (PIR (the ratio of self-reported family income to the family's appropriate threshold value), grouped into quartiles), length of time in the U.S. for those not born in the country, and BMI.
In complex situations such as regression on several variables, designed experiments, multivariate data, and multilevel data, a data point may be inconsistent with the pattern of the main data, and thus outlying, but not perceivable by inspection.
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