This dataset, alzheimers_biomarkers_tbl_df, is a tibble containing clinical data from 333 patients in a study of Alzheimer's disease biomarkers. The study included patients with mild cognitive impairment and healthy controls, with measurements of demographic characteristics, apolipoprotein E genotype, protein biomarkers (including Abeta, Tau, and pTau), and clinical dementia scores.
Usage
data(alzheimers_biomarkers_tbl_df)
Format
A tibble with 333 observations and 131 variables:
- age
Numeric: Patient age
- male
Numeric: Indicator for male gender (1 = male, 0 = female)
- Genotype
Factor: Apolipoprotein E genotype
- Class
Factor: Clinical classification (e.g., healthy, impaired)
- Ab_42
Numeric: Amyloid-beta 42 protein measurement
- tau
Numeric: Tau protein measurement
- p_tau
Numeric: Phosphorylated Tau protein measurement
- [131 additional biomarker variables]
Numeric measurements of various proteins and biomarkers
Source
Data taken from the modeldata package version 1.4.0. Original study: Craig-Schapiro R, Kuhn M, Xiong C, et al. (2011) Multiplexed Immunoassay Panel Identifies Novel CSF Biomarkers for Alzheimer's Disease Diagnosis and Prognosis. PLoS ONE 6(4): e18850.
Details
The dataset name has been kept as 'alzheimers_biomarkers_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the NeuroDataSets package. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified.