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.
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.
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.
BLM is an R package for estimating absolute risk and risk differences from cohort data with a binomial linear or LEXPIT regression 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.