Data Analytics Branch Supporting analytics for the next generation of cancer epidemiological surveillance data.
Our mission is to advance the science on analytic, modeling, reporting and interpretation methods for cancer epidemiological surveillance data in order to measure progress in reducing the US cancer burden.
Research areas of focus for the Branch include but are not limited to:
- Innovative tools and approaches for the analysis, reporting, visualization and interpretation of cancer surveillance data,
- Novel methods and algorithms to develop, evaluate, and improve cancer progress measures and indicators spanning the cancer continuum, such as
- New analytic methods for the harmonization, enhancement, and validation of novel sources of data and variables to expand the utility of cancer surveillance data
- Multiple Imputation to enhance newly collected data (e.g. biomarkers)
- Methods to examine the biases and population representativeness
- Funding opportunities in cancer surveillance
- New Informatics Tools and Methods to Enhance U.S. Cancer Surveillance Research
- Annual Report to the Nation on the Status of Cancer, 1975-2011, Featuring Incidence of Breast Cancer Subtypes by Race/Ethnicity, Poverty, and State
- Cancer incidence and survival trends by subtype using data from the Surveillance Epidemiology and End Results Program, 1992-2013
- Cancer Stat Facts: Female Breast Cancer
- Imputing estrogen receptor (ER) status in a population-based cancer registry
- Survival Monograph Papers
- Use of Imputed Population-based Cancer Registry Data as a Method of Accounting for Missing Information