The following risk assessment tools were developed by DCEG. They are freely available for use by other researchers.
Learn how DCEG applies absolute risk modeling to develop tools to aid clinicians and their patients.
Jump to NCI risk assessment tools for clinicians and individuals:
BCRA is an R package that projects absolute risk of invasive breast cancer according to NCI’s Breast Cancer Risk Assessment Tool (BCRAT) algorithm for specified race/ethnic groups and age intervals.
A SAS macro (commonly referred to as the Gail Model) that projects absolute risk of invasive breast cancer according to NCI’s Breast Cancer Risk Assessment Tool (BCRAT) algorithm for specified race/ethnic groups and age intervals.
Software that projects absolute breast cancer risk over defined age intervals for Asian and Pacific Islander American women with specific risk factors.
The CARE Model is a SAS macro that allows researchers to estimate an African American woman's risk of developing invasive breast cancer over specified age intervals.
A SAS macro that projects absolute invasive breast cancer risk for white women based on measurements of mammographic density and other risk factors.
Software that projects absolute risk for breast, endometrial, and ovarian cancer in Caucasian and African American women.
Breast Cancer Risk Prediction macro for projecting risk for Hispanic Americans
A SAS macro that projects absolute risk of colon cancer according to NCI’s Colorectal Cancer Risk Assessment Tool (CCRAT) algorithm.
An executable file (in GAUSS) that projects absolute colon cancer risk (with confidence intervals) according to NCI’s Colorectal Cancer Risk Assessment Tool (CCRAT) algorithm. GAUSS is not needed to run the program.
In both the absence and presence of screening, the R package lcrisks, calculates individual risks of lung cancer and lung cancer death based on covariates: age, education, sex, race, smoking intensity/duration/quit-years, Body Mass Index, family history of lung-cancer, and self-reported emphysema. In the presence of CT screening akin to the NLST (3 yearly screens, 5 years of follow-up), it uses the covariates to estimate risk of false-positive CT screen as well as the reduction in risk of lung cancer death and increase in risk of lung cancer screening.
The R package provides individual risks of lung cancer and lung cancer death based on various published papers: Bach et al., 2003; Spitz et al., 2007; Cassidy et al., 2008 (LLP); Hoggart et al., 2012; Tammemagi et al., 2013; Marcus et al., 2015 (LLPi); Wilson and Weissfeld, 2015 (Pittsburgh); Katki et al., 2016 (LCRAT and LCDRAT)
Descriptions of an online calculator for estimating the lifetime risk of cancer incidence for members of the U.S. population (or countries with similar cancer incidence rates) from exposure to ionizing radiation for doses below 1 Gy.
The R package thyroid implements a risk prediction model developed by NCI researchers to calculate the absolute risk of developing a second primary thyroid cancer (SPTC) in individuals who were diagnosed with a cancer during their childhood.
This calculator estimates radiation dose received by the thyroid from radionuclides in fallout from nuclear tests conducted at the Nevada Test Site (NTS) and sites outside of the United States (global fallout); estimates risk of developing thyroid cancer from that exposure; and provides an estimate of probability of causation, sometimes called assigned share (PC/AS), for individuals who have been diagnosed with thyroid cancer.
R Package for the Binomial Linear Model
IRAP is an interactive computer program which calculates both point estimates and confidence intervals for attributable risk, based on regression models, from cohort or case-control data.