R: HIV-AIDS data

hiv {DPpackage} | R Documentation

## HIV-AIDS data

### 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.

### Usage

    data(hiv)

### Format

A data frame with 262 observations on the following 5 variables.

`onsetL`

  a numeric vector giving the lower limit of the HIV infection interval.

`onsetU`

  a numeric vector giving the upper limit of the HIV infection interval.

`failureL`

  a numeric vector giving the lower limit of the interval were clinical AIDS was observed.

`failureU`

  a numeric vector giving the upper limit of the interval were clinical AIDS was observed.

`trt`

  a numeric vector giving the treatment indicator: (0) indicates the lighter treated group while (1) indicates the heavily treated group.

### 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.

### Source

De Grutola, V. and Lagakos, S.W. (1989). Analysis of doubly-censored survival data, with application to AIDS. Biometrics, 45: 1-11.

### References

Jara, A., Lesaffre, E., De Iorio, M., Quintana, F. (2010). Bayesian semiparametric inference for multivariate doubly-interval-censored data. Annals of Applied Statistics, 4: 2126-2149.

### Examples

    data(hiv)
    ## maybe str(hiv) ; plot(hiv) ...

[Package DPpackage version 1.1-7.4 Index]