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All models included background data such as age, education, and previous biological children.
We collected details on study objective, intervention type and disease category, design, methodology and background data such as sponsorship.
The first 9 questions concerned background data such as age, sex, age of guardian, income of household etc.
Six questions asked for individual background data such as gender, age (in 10-year intervals), self-rated health status, and level of education.
The Minimum Data Set (MDS) version 2.1, which is part of the Resident Assessment Instrument (RAI), was used to collect background data, such as age, gender and other characteristics of residents.
At the time of enrollment, background data, such as sex, age, height, body weight, and risk factors including hypertension, T2DM, family history of CAD, and smoking status were collected from each subject.
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On enrolment or at the first check-up after birth, background information data such as educational level, civil status, child's gender, gestational age, and birth weight were collected and recorded.
Included are correspondence, case records, statistical data, and background information, such as medical journal articles and publications of the U.S. Public Health Service.
The MDS instrument provides individual level data on the following: background information, such as age, gender, payment source; patient status such as cognitive patterns, physical functioning; and the care provided.
In addition, income correlated with other background characteristics in our data, such as gender of the caregiver, which gives some support to our imputation method.
Other analyses using only single station data, such as monitoring of background noise (Ringler et al. 2010) and ZH ratio of Rayleigh wave, which requires precise information about the instrument response to estimate the velocity structure beneath the station (e.g., Tanimoto and Rivera 2008), will be effective for these stations.
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background items such as
background noises such as
background ambiences such as
background shortcomings such as
background characteristics such as
background things such as
background materials such as
background variables such as
baseline data such as
background factors such as
associated data such as
related data such as
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