iCARE: An R package to build, validate and apply absolute risk models

• DOI: 10.1371/journal.pone.0228198
• Publication Date: 2020-02-05T18:39:03Z
• Authors: Parichoy Pal Chou...; Paige Maas; Amber Wilcox; William Wheeler; Mark Brook; David Check; Montserrat Garcia...; Nilanjan Chatterjee
• Keywords: Absolute risk reduction

This report describes an R package, called the Individualized Coherent Absolute Risk Estimator (iCARE) tool, that allows researchers to build and evaluate models for absolute risk apply them estimate individual’s of developing disease during a specified time interval based on set user defined input parameters. An attractive feature software is it gives users flexibility update rapidly new knowledge factors tailor different populations by specifying three arguments: model relative risk, age-specific incidence rate distribution population interest. The tool can handle missing information individuals whom risks are be predicted using coherent approach where all estimates derived from single after appropriate averaging. nucleotide polymorphisms (SNPs) incorporated into published odds ratios allele frequencies. validation component implements methods evaluation calibration, discrimination risk-stratification independent datasets. We provide illustration utility iCARE building, validating applying breast cancer as example.