Our Program Project, "Statistical Informatics for Cancer Research," aims to develop statistical methods and efficient computational algorithms to overcome quantitative challenges in cancer research. These challenges are motivated by the analysis of high dimensional data arising in population based studies of cancer. The Program Project is comprised of following three research projects:
- Statistical Methods for Social Disparities in Cancer
- Statistical Methods in Comparative Effectiveness Research (CER) in Cancer
- Statistical Methods for Analysis of Next Generation Sequencing (NGS) Data in Genetic Cancer Epidemiological Studies
The three projects are linked thematically through a focus on population-based, observational studies in cancer, and technically through high-dimensional correlated data that require advanced statistical and computing methods. The aims of the three projects are closely integrated with motivating real-world cancer studies in which the investigators are involved.
In addition to the three projects, there are an Administrative Core and a Statistical Computing Core. The Administrative Core will coordinate the overall scientific direction and programmatic activities of the program. The Statistical Computing Core will ensure the development and dissemination of open-access, good quality, and user-friendly software designed to implement the statistical methods developed in the Research Projects.
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