2019-07-05 18:56:53 +00:00
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/wihs.R
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\docType{data}
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\name{wihs}
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\alias{wihs}
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\title{Women's Interagency HIV Study}
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\format{A data frame with 1164 rows and 6 variables: \describe{
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\item{time}{time to the event} \item{status}{denotes which event occurred.
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0 denotes censoring, 1 denotes HIV treatment began, and 2 denotes AIDS
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developed or the patient died} \item{ageatfda}{patient age at time first
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treatment approved} \item{idu}{binary specifying if the patient has a
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history of drug injections (1 if true)} \item{black}{binary specifying if
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the patient is black (1 if true)} \item{cd4nadir}{blood count of CD4 cells}
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}}
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\source{
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The data was obtained from the randomForestSRC R package.
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}
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\usage{
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wihs
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}
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\description{
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A dataset containing competing risks information for women with HIV;
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recording the time to treatment, or the time to developing AIDS or death. The
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time may also be censored.
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}
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\references{
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Bacon MC, von Wyl V, Alden C, Sharp G, Robison E, Hessol N, Gange
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2019-07-22 18:41:25 +00:00
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S, Barranday Y, Holman S, Weber K, Young MA (2005). “The Women’s Interagency
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HIV Study: an Observational Cohort Brings Clinical Sciences to the Bench.”
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Clinical and Vaccine Immunology, 12(9), 1013–1019.
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doi:10.1128/CDLI.12.9.1013-1019.2005.
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Ishwaran, H., and Udaya B. Kogalur. 2018. Random Forests for Survival,
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Regression, and Classification (Rf-Src). manual.
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https://cran.r-project.org/package=randomForestSRC.
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2019-07-05 18:56:53 +00:00
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}
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\keyword{datasets}
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