AidsSurvival.df

<p>Data from a hypothetical HMO-HIV+ study shown in Table 1.1 of Hosmer, D.W.
and Lemeshow, S. (1998) Applied Survival Analysis: Regression Modeling of
Time to Event Data, John Wiley and Sons Inc., New York, NY</p>

datasets

A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." This book was written by Bill (WM) Bolstad and published in 2009 by John Wiley & Sons (ISBN 978-0470046098).

James Curran

Bolstad2

Bolstad Functions

AidsSurvival.df function

<p>A data frame with 100 observations on 7 variables.</p><table><tr><td>
[,1] </td>
<td> id </td>
<td> numeric </td>
<td> l Subject ID code </td>
</tr><tr><td> [,2] </td>
<td> entdate </td>
<td>
date </td>
<td> Entry date (ddmmyr) </td>
</tr><tr><td> [,3] </td>
<td> enddate </td>
<td> date </td>
<td> Entry
date (ddmmyr) </td>
</tr><tr><td> [,4] </td>
<td> time </td>
<td> numeric </td>
<td> Survival Time = days
between Entry date and End date </td>
</tr><tr><td> [,5] </td>
<td> age </td>
<td> numeric </td>
<td> Age in
years </td>
</tr><tr><td> [,6] </td>
<td> drug </td>
<td> factor </td>
<td> History of IV drug use (0 = No, 1
= Yes) </td>
</tr><tr><td> [,7] </td>
<td> censor </td>
<td> factor </td>
<td> Follow-Up Status1 = Death due
to AIDS or AIDS </td>
</tr><tr><td> </td>
<td> </td>
<td> </td>
<td> related factors (0 = Alive at study end
or lost to follow-up)</td>
</tr></table>

AidsSurvival.df: HIV Survival data

Description

Arguments

Format

[,1]	id	numeric	l Subject ID code
[,2]	entdate	date	Entry date (ddmmyr)
[,3]	enddate	date	Entry date (ddmmyr)
[,4]	time	numeric	Survival Time = days between Entry date and End date
[,5]	age	numeric	Age in years
[,6]	drug	factor	History of IV drug use (0 = No, 1 = Yes)
[,7]	censor	factor	Follow-Up Status1 = Death due to AIDS or AIDS
			related factors (0 = Alive at study end or lost to follow-up)