Statistical Study Sections
The Biostatistical Methods and Research Design (BMRD) Study Section reviews applications that seek to advance statistical and mathematical techniques and technologies applicable to the design and analysis of data from biomedical, behavioral, and social science research. Emphasis is on the promotion of quantitative methods to aid in the design, analysis, and interpretation of clinical and population based research studies. Specific areas covered by BMRD:
- Research design: development and adaptation of methods for survey sample design; sample size determination; design issues for experimental and observational studies; randomized trial designs; methods to improve study design efficiencies
- Data collection and measurement: development and adaptation of methods to estimate and improve data precision, reliability, and validity; methods to estimate and adjust for bias, measurement error, confounding, sampling and non-sampling error; psychometric methods
- Data analysis and modeling: development of statistical theory, analytic methods and models, computational tools and algorithms for the analysis and interpretation of data from clinical studies, randomized trials, epidemiological studies, human genetic association studies, environmental studies, and complex surveys; methods to handle data features and anomalies such as correlation, clustering, missing and skewed data; risk prediction and forecasting methods; causal modeling; high dimensional data methods
Please visit the CSR Web site to review the BMRD Meeting Roster and SRA.
Other relevant Study Sections for Biostatistical grants include the following:
- The Modeling and Analysis of Biological Systems (MABS) Study Section reviews applications (R01, R21, SBIR/STTR, etc.) that develop modeling/enabling technologies for understanding the complexity of biological systems. Please visit the CSR Web site to review the MABS Meeting Roster and SRA.
- The Biodata Management and Analysis (BDMA) Study Section reviews grant applications that aim to develop technologies for the management and analysis of basic biological data (i.e., bioinformatics, computational biology, and computer science). Please visit the CSR Web site to review the BDMA Meeting Roster and SRA.
- The Genomics, Computational Biology and Technology (GCAT) Study Section reviews applications which involve global and integrative analyses of biological systems and the development of new computational and experimental methodologies. Please visit the CSR Web site to review the GCAT Meeting Roster and SRA.
- The Biomedical Computing and Health Informatics (BCHI) Scientific Review Group reviews grant applications involving both basic research and applications of computational science to knowledge and information in biomedicine, healthcare and their integration. The focus is on the development and application of computational modeling and computational sciences to biomedical and clinical problems. Please visit the CSR Web site to review the BCHI Meeting Roster and SRA.