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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ad_data.R
\docType{data}
\name{ad_data}
\alias{ad_data}
\title{Alzheimer's disease data}
\source{
Kuhn, M., Johnson, K. (2013) \emph{Applied Predictive Modeling}, Springer.
Craig-Schapiro R, Kuhn M, Xiong C, Pickering EH, Liu J, Misko TP, et al.
(2011) Multiplexed Immunoassay Panel Identifies Novel CSF Biomarkers for
Alzheimer's Disease Diagnosis and Prognosis. PLoS ONE 6(4): e18850.
}
\value{
\item{ad_data}{a tibble}
}
\description{
Alzheimer's disease data
}
\details{
Craig-Schapiro et al. (2011) describe a clinical study of 333 patients,
including some with mild (but well-characterized) cognitive impairment as
well as healthy individuals. CSF samples were taken from all subjects. The
goal of the study was to determine if subjects in the early states of
impairment could be differentiated from cognitively healthy individuals.
Data collected on each subject included:
\itemize{
\item Demographic characteristics such as age and gender
\item Apolipoprotein E genotype
\item Protein measurements of Abeta, Tau, and a phosphorylated version of Tau (called pTau)
\item Protein measurements of 124 exploratory biomarkers, and
\item Clinical dementia scores
}
For these analyses, we have converted the scores to two classes: impaired
and healthy. The goal of this analysis is to create classification models
using the demographic and assay data to predict which patients have early
stages of disease.
}
\examples{
data(ad_data)
str(ad_data)
}
\keyword{datasets}
|
