For instance, in Adult data, patient's age, sex, and education attributes may appear similar in the first one thousand records, and then related records may appear again at the end of the table.
There were two variables for the partners in the data: partner's age and race.
Demographic data (women's age, marital status, residency, education, parity, and socioeconomic status) were collected during pregnancy.
Demographic data (child's age, race/ethnicity, household income, parental educational level, type and age of residence) were collected through the questionnaire and statewide birth certificate files maintained by the California Department of Health Services (Sacramento, CA, USA) (Ma et al. 2002).
Health utilisation data was matched with data about individual's age, gender and family income provided by Statistics Sweden.
Specifically, as indicated in Table 1, scale-level data included mother's age and child's age, and interval-level data included mother's employment, household income, child's language ability, child's intellectual ability, and disruptive behaviors.
These data included patient's age, body mass index (BMI, kg/m2), parity, previous cesarean sections, smoking history, dysmenorrhea, dyspareunia, urinary and gastrointestinal symptoms, infertility history, fertility treatment and type, and number of previous IVF cycles.
We have missing data on father's age (cases, n=32 and controls, n=8305).
For this stage-wise data, the patient's age ranged from 58 75 with few outliers.
We then obtained data regarding patient's age and gender from medical records associated with each case.
