ad_data: Alzheimer's disease data

In modeldata: Data Sets Useful for Modeling Examples

Alzheimer's disease data

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:

• Demographic characteristics such as age and gender

• Apolipoprotein E genotype

• Protein measurements of Abeta, Tau, and a phosphorylated version of Tau (called pTau)

• Proteinmeasurements of 124 exploratory biomarkers, and

• 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.

Value

ad_data

a tibble

Source

Kuhn, M., Johnson, K. (2013) 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.

Examples

data(ad_data)
str(ad_data)

modeldata documentation built on Aug. 9, 2023, 5:10 p.m.