About StatFund

Statfund.cancer.gov provides information for statisticians who are interested in NIH funding. It pulls together information for new and seasoned applicants in the Funding Opportunities and Application Procedures sections. NIH application policies and the list of funding opportunities are updated frequently, so be sure to check back often.

In addition to information for applicants, there is information on currently funded statistical methodology grants within the Surveillance Research Program of the Division of Cancer Control and Population Sciences. These projects are related to areas of research that NCI is currently emphasizing, including cancer treatment, etiology, genomics and genetics, epidemiology, cancer prevention, outcomes research, dietary assessment, and cancer surveillance, including advanced technology applications (e.g., Artificial Intelligence, Natural Language Processing). The Portfolio represents a wide range of cancer research projects on statistical topics, such as survival analysis, generalized linear models, sequential analysis, and Bayesian inference. Statistical methods in this portfolio enable interpretation of research results across the full spectrum of the cancer control continuum, from prevention, detection, and diagnosis through treatment and survivorship.

Many, but not all, of NCI's statistical methods grants are funded through the SRP Statistical Grants Portfolio. The Biostatistical Methods and Research Design (BMRD) Study Section reviewed many of the statistical methodology grants in this portfolio. Additional Study Sections and Special Emphasis Panels (SEP) that review biostatistical grant applications are described on the Statistical Study Sections page.

Established for the extramural statistical research community, statfund.cancer.gov pulls together much of the relevant information about the funding mechanisms and opportunities at NIH, whether for statistical methods, applications, or training.

Dissemination of user-friendly, robust software and related documentation for cutting-edge statistical methodology is a high priority for diverse areas of cancer control and population science. Learn more about the software on the Cutting-Edge Statistical Methodology page.

Download the fact sheet (PDF).