1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
|
\name{wesdr}
\alias{wesdr}
\title{Progression of Diabetic Retinopathy}
\description{
Data derived from the Wisconsin Epidemiological Study of Diabetic
Retinopathy.
}
\usage{data(wesdr)}
\format{
A data frame containing 669 observations on the following variables.
\tabular{ll}{
\code{dur} \tab Duration of diabetes at baseline, in years.\cr
\code{gly} \tab Percent of glycosylated hemoglobin at baseline.\cr
\code{bmi} \tab Body mass index at baseline.\cr
\code{ret} \tab Binary indicator of retinopathy progression at
first follow-up.
}
}
\source{
Wang, Y. (1997), GRKPACK: Fitting smoothing spline ANOVA models for
exponential families. \emph{Communications in Statistics --
Simulations and Computation}, \bold{26}, 765--782.
}
\references{
Klein, R., Klein, B. E. K., Moss, S. E., Davis, M. D., and DeMets,
D. L. (1988), Glycosylated hemoglobin predicts the incidence and
progression of diabetic retinopathy. \emph{Journal of the American
Medical Association}, \bold{260}, 2864--2871.
Klein, R., Klein, B. E. K., Moss, S. E., Davis, M. D., and DeMets,
D. L. (1989), The Wisconsin Epidemiologic Study of Diabetic
Retinopathy. X. Four incidence and progression of diabetic
retinopathy when age at diagnosis is 30 or more years.
\emph{Archive Ophthalmology}, \bold{107}, 244--249.
Wahba, G., Wang, Y., Gu, C., Klein, R., and Klein, B. E. K. (1995),
Smoothing spline ANOVA for exponential families, with application to
the Wisconsin Epidemiological Study of Diabetic
Retinopathy. \emph{The Annals of Statistics}, \bold{23}, 1865--1895.
}
\keyword{datasets}
|
