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Biostatistical Methods and Research Design Study Section [BMRD]

The Biostatistical Methods and Research Design (BMRD) Study Section reviews applications which seek to advance statistical and mathematical techniques and technologies applicable to the experimental design and analysis of data in biomedical, behavioral, and social science research. Emphasis is on statistical quantitative methods to aid in the design, analysis, and interpretation of clinical, genomic, and population based research studies. This includes analytic software development, refinement and novel application of existing statistical methods, and secondary data analyses utilizing existing database resources.

Rosters

Topics

  • Development and validation of new statistical genetic methods and computational algorithms and software.
  • Development of new statistical tools, methods, and software for precision medicine and data science; data fusion of proteomic, genomic, metabolomics, behavioral, social, and geospatial data; fusion of data at multiple time scales.
  • Development of statistical modeling methods, including computational and mathematical approaches to research into complex social behavior.
  • Development of statistical methods for scalable image analysis.
  • High dimensional data methods, such as those arising from: genomic technologies, proteomics, metabolomics, transcriptomics, sequencing, and imaging studies; development and applications of methods for data mining; statistical innovation in decision support, statistical machine learning, Bayesian networks, neural networks and outcome prediction; statistical methods for high throughput data; and development of novel techniques for biomarker identification.
  • Novel analyses of existing datasets; innovative application of existing or development of new statistical and computational methodologies; application of methods in substantially new areas of application; innovative, non-routine data analysis strategies including combinations of existing methods rather than de novo development of new methods; development and evaluation of novel analytic tools to address new questions within existing data sets.
  • Research design: development and innovative application of randomized trial designs; adaptive designs; mixed methods; sample size determination; design issues for experimental and observational studies; methods to improve study design efficiencies; methods for survey sample design; methods for comparative effectiveness studies; statistical and methodological approaches for the social and behavioral sciences.
  • Data collection and measurement: development and adaption 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, observational studies, epidemiological studies, human genetic association studies, environmental studies, complex surveys, large databases, and registries; methods to handle data features and anomalies such as correlation, clustering, and missing data; risk prediction and forecasting methods; causal modeling
Shared Interests
  • BMRD, GCAT, BDMA, and PSE–based study sections have shared interests in statistical genetics. Applications where the main focus is on development of statistical genetic methods may be assigned to BMRD. Applications whose primary focus is the development of methods to address specific questions in genetics or genomics may be assigned to GCAT. Applications which focus on software and database development, refinement, and hardening are typically assigned to BDMA. Applications which focus on epidemiological, behavioral and social outcomes are typically assigned to the appropriate PSE-based study section.
  • BMRD, BCHI, and BDMA have shared interests in informatics. Applications which focus on the development of scalable statistical methods for analysis of high-dimensional data sets are typically assigned to BMRD. Applications which focus on biomedical informatics are typically assigned to BDMA. Applications which focus on clinical informatics are typically assigned to BCHI.
  • BMRD, BCHI, BDMA, and SBIB-based study sections have shared interests in software development. Applications which include dissemination of statistical methods developed in other aims as software packages are typically assigned to BMRD. Applications which focus on software and database development, refinement, and/or hardening, as well as image analysis software, are typically assigned to BDMA or SBIB-based study sections. Applications which develop software for: digital health; privacy or secure communication of health data; mobile applications or platforms (“apps”); and integration of mobile sensors, platforms, and or databases are typically assigned to BCHI.
  • BMRD, BCHI, BDMA, SBIB-based study sections, and PSE-based study sections have shared interests in machine-learning based automated image analysis. Applications which focus on the development of statistical methods for scalable image analysis are typically assigned to BMRD. Applications which develop image databases are typically assigned to BDMA. Applications which develop systems to identify specific anatomic regions, structures, organs, or tumors, or to develop radiological-based models of organs or anatomic regions, are typically assigned to SBIB-based study sections. Applications which use image analysis systems or radiological-based models to provide clinical decision support are typically assigned to BCHI. (PSE-based study sections include: BGES, CHSA, CHSB, IRAP, KNOD, NAME, SSPA, SSPB, and SEIR.)

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