Description

The hivsurv data set comes from an HIV surveillance project discussed in Verstraeten et al. (1998) and Vansteelandt et al. (2000). The purpose of the study was to estimate the HIV prevalence among pregnant Kenyan women in four rural locations of the country, using both individual and group testing responses. Blood tests were administered to each participating woman, and 4 covariates were obtained on each woman. Because the original group responses are unavailable, individuals are artificially put into groups of 5 here to form group responses. Only the 428 complete observations are given here.

Usage

Format

A data frame with 428 observations on the following 8 variables.

DATE

the date when each sample was collected

PAR.

parity (number of children)

AGE

age (in years)

MA.ST.

marital status (1: single; 2: married (polygamous); 3: married (monogamous); 4: divorced; 5: widow)

EDUC.

highest attained education level (1: no schooling; 2: primary school; 3: secondary school; 4: higher)

HIV

individual response of HIV diagnosis (0: negative; 1: positive)

gnum

the group number that designates individuals into groups

groupres

the group response calculated from artificially formed groups

Source

Verstraeten, T., Farah, B., Duchateau, L., Matu, R. (1998), Pooling sera to reduce the cost of HIV surveillance: a feasibility study in a rural Kenyan district, Tropical Medicine & International Health, 3, 747-750.

Vansteelandt, S., Goetghebeur, E., and Verstraeten, T. (2000), Regression models for disease prevalence with diagnostic tests on pools of serum samples, Biometrics, 56, 1126-1133.

Examples