Statistical Research and Applications Branch Providing innovative statistical methods and models for the analysis and interpretation of cancer surveillance data.
Our mission is to provide optimal statistical methods for the collection, analysis, and presentation of essential measures related to the cancer control, surveillance, and epidemiology programs of the National Cancer Institute and the broader cancer control and research community. These methods are pertinent to cancer outcomes, risk and behavioral factors, spatial and temporal factors, genetic factors, and health care delivery factors.
Areas of Research
- Statistical Methods and Software
- Modeling the Impact of Cancer Control Interventions (CISNET)
- Spatial Statistics
- Statistical Genetics
- Statistical Methods Grant Portfolio
- Survey Methods
- CISNET Study Estimates that Declines in Smoking Have Prevented Nearly 800,000 Deaths
- Predicting US- and State-Level Cancer Counts for the Current Calendar Year
[Part I] [Part II]
- Small Area Estimates for Cancer Screening and Risk Factors Added to State Cancer Profiles