| hivsurv | R Documentation |
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.
data(hivsurv)
A data frame with 428 observations on the following 8 variables.
DATEthe date when each sample was collected
PAR.parity (number of children)
AGEage (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)
HIVindividual response of HIV diagnosis (0: negative; 1: positive)
gnumthe group number that designates individuals into groups
groupresthe group response calculated from artificially formed groups
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.
data(hivsurv)
str(hivsurv)
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