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Tools & Resources

NCI Risk Assessment Tools

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:

Biostatistics Branch investigators develop statistical and computational tools for epidemiologic and laboratory studies, and distribute those tools to collaborators and the greater scientific community.

BB Descriptive Epidemiology Resources
  • Age Period Cohort Analysis Web Tool

    A panel of easy-to-interpret estimable APC functions and corresponding Wald tests in R code that can be accessed through a user-friendly web tool.

BB Risk Assessment Tools
BB Analysis Tools
  • Age Period Cohort Analysis Web Tool

    A panel of easy-to-interpret estimable APC functions and corresponding Wald tests in R code that can be accessed through a user-friendly web tool.

  • Adaptive Rank Truncated Product - Version 2 (ARTP2)

    ARTP2 is an R package of biological pathway analysis or pathway meta-analysis for genome-wide association studies (GWAS). It also provides tools for gene-level test as a special case. ARTP2 is an enhanced version of two previously released packages ARTP and AdaJoint.

  • Association analysis based on SubSETs (ASSET)

    A subset-based approach improves power and interpretation for combined analysis of genetic assocation studies of heterogeneous traits.

  • BaDGE (Bayesian model for Detecting Gene Environment interaction)

    Bayesian model for Detecting Gene Environment interaction

  • Bayesian Subset Regression (BSR)

    BSR (Bayesian Subset Regression) is an R package that implements the Bayesian subset modeling procedure for high-dimensional generalized linear models.

  • CBRM

    An R package for testing Calibration of Binary Risk Model (CBRM) using different goodness-of-fit statistics

  • CGEN R Package

    CGEN (Case-control.Genetics) is an R package for analyzing genetic data on case-control samples, with particular emphasis on novel methods for detecting Gene-Gene and Gene-Environment interactions.

  • CNVfam

    CNVfam is a software package for jointly detecting copy number variations (CNV) in nuclear families genotyped using the Illumina platform.

  • CompareTests

    CompareTests is an R package to estimate agreement and diagnostic accuracy statistics for two diagnostic tests when one is conducted on only a subsample of specimens. A standard test is observed on all specimens.

  • CRaVe

    Software package designed to perform a range of association tests between sets of SNPs and a phenotype.

  • Extremely small Pvalue Evaluation for Resampling-based Test

    This is a R package for rapid evaluation of extremely small p-value for resampling-based test (EXPERT).

  • Het-Tree

    This is the R package implementing the testing procedure described in the referred manuscript

  • iCARE (individualized Coherent Absolute Risk Estimators)

    The iCARE R Package allows researchers to quickly build models for absolute risk, and apply them to estimate an individual's risk of developing disease during a specifed time interval, based on a set of user defined input parameters.

  • INPower

    IN.power is an R package for estimating the number of susceptibility SNPs and power of future studies.

  • KinCohort

    Different approaches for handling varied error structures in studies of irradiated populations

  • MultAssoc

    MultiAssoc is a MATLAB software package for test of association of a disease with a group of SNPs after accounting for their interaction with another group of SNPs or environmental exposures.

  • Nested Cohort

    NestedCohort is an R software package for fitting Kaplan-Meier and Cox Models to estimate standardized survival and attributable risks for studies where covariates of interest are observed on only a sample of the cohort.

  • segCNV

    SegCNV is a software package, implemented in C++, to detect germline copy number variations in SNP array data.

  • TREAT (TREe-based Association Test)

    TREAT is an R package for detecting complex joint effects in case-control studies. The test statistic is derived from a tree-structure model by recursive partitioning the data. Ultra-fast algorithm is designed to evaluate the significance of association between candidate gene and disease outcome

BB Study Design & Planning Tools
  • POWER V3.0 Software

    POWER V3.0 Software is used for computing sample size and power for binary outcome studies.

  • Power for Genetic Association Analyses (PGA)

    PGA is a software package containing algorithms and graphical user interfaces developed in Matlab for power and sample size calculation under various genetic models and statistical constraints.