The works of Paige Maas, Amber Wilcox, David Check and Montserrat Garcia-Closas were supported by the Intramural Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services ( ). The work is made available under the Creative Commons CC0 public domain dedication.ĭata Availability: All relevant data are within the manuscript and its Supporting Information files.įunding: The works of Parichoy Pal Choudhury and Nilanjan Chatterjee were supported by the Patient-Centered Outcomes Research Institute (PCORI: ) Award (ME-1602-34530). This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. Received: AugAccepted: JanuPublished: February 5, 2020 (2020) iCARE: An R package to build, validate and apply absolute risk models. We provide an illustration of the utility of iCARE for building, validating and applying absolute risk models using breast cancer as an example.Ĭitation: Pal Choudhury P, Maas P, Wilcox A, Wheeler W, Brook M, Check D, et al. The validation component of the software implements the methods for evaluation of model calibration, discrimination and risk-stratification based on independent validation datasets. The software allows single nucleotide polymorphisms (SNPs) to be incorporated into the model using published odds ratios and allele frequencies. The tool can handle missing information on risk factors for individuals for whom risks are to be predicted using a coherent approach where all estimates are derived from a single model after appropriate model averaging. An attractive feature of the software is that it gives users flexibility to update models rapidly based on new knowledge on risk factors and tailor models to different populations by specifying three input arguments: a model for relative risk, an age-specific disease incidence rate and the distribution of risk factors for the population of interest. 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 and apply them to estimate an individual’s risk of developing disease during a specified time interval based on a set of user defined input parameters.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |