Sentence examples for births were assigned from inspiring English sources

All births were assigned spatial identifiers (zipcodes and/or grid references).

An additional 256,094 births were assigned an LMP later than 10 November 2003, and were also classified as unexposed.

For births during 1981 1994, the postcode of birth was also available and births were assigned to wards (MIMAS, 2002) and the numbers of births in each ward in each year were likewise calculated.

Births were assigned according to their risk factors (mother's age at the time of each childbirth, birth order, and birth spacing in relation to the previous birth) into the 11 categories commonly used (2, 14).

Births were assigned to the six county districts (average population in 1981, 79 450 (Opcs, 1983)) using digitised boundaries and the grid-reference of the postcode centroid (Local Government Act, 1972; Gregory and Southall, 1998), excluding 652 (0.7%) births for which the mother's address was missing.

Years of birth were assigned based on methodologies employed by researchers among the !Kung [64], Ache [65] and Hadza [66].

Demographic data, including gender, date of birth, and country of birth were assigned to world regions according to an existing United Nations classification (20 ).

For example, Chinese participants (regardless of their country of birth) were assigned the percentage of the population in their CCD who self-identifiedas Chinese.

All children with an odd day of birth were assigned to the PRP-D arm, while children with an even day of birth were assigned to the HbOC arm; all children received three doses of Hib vaccine: the first at age 4 months, the second at age 6 months, and the third (booster) dose between 14 and 18 months of age.

Women with odd dates of birth were assigned to the EWA programme (n = 100), and women with even dates of birth to a mixed gender setting with no programme specifically developed for women, here called TAU (n = 100).

In this study, the categories filly, colt, dead foal and foal died after birth were assigned the value 1 (foaled), and the categories barren, aborted and mare died pregnant were given the value 0 (not foaled).