Description
This data set considers information from a cohort of 262 hemophiliacs at
risk of human immunodeficiency virus (HIV) infection from infusions of
blood they received periodically to treat their hemophilia in two
hospitals in France. All infected patients are believed to have become
infected by contaminated blood factor: 105 patients received at least
1,000 micro grams/kg of blood factor for at least one year between 1982 and
1985 (heavily treated group), and 157 patients received less than 1,000
micro grams/kg in each year (lighter treated group). For this cohort both
infection with HIV and the onset of acquired immunodeficiency syndrome
(AIDS) or other clinical symptoms could be subject to censoring.
Therefore, the induction time between infection and clinical AIDS are
treated as doubly-censored.source
De Grutola, V. and Lagakos, S.W. (1989). Analysis of doubly-censored survival data, with
application to AIDS. Biometrics, 45: 1-11.Details
This dataset was analyzed by dataset De Gruttola and Lagakos (1989).
The periodic observation of HIV infection status in these patients was possible because
blood samples were stored and retrospectively tested for evidence of infection with the HIV.
Note that both the distribution of chronological time of infection and induction time are of interest.
In De Gruttola and Lagakos (1989) the proposed nonparametric maximum likelihood one-sample estimator
was illustrated by considering the intervals for the onset and failure time, which were the results
of a discretization of the time axis into 6-month intervals.References
Jara, A., Lesaffre, E., De Iorio, M., Quintana, F. (2009). Bayesian semiparametric inference
for multivariate doubly-interval-censored data. Technical Report.Examples
Run this codedata(hiv)
## maybe str(hiv) ; plot(hiv) ...
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