brb.nci.nih.govBiometric Research Program (BRP)
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| What should physicians look for in evaluating prognostic ... https://brb.nci.nih.gov/techreport/nrclinonc_2010_60.pdf |
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| Sitemap | Contact BRP Search this site Home About BRP Staff Directory Biostatistics Branch Computational & Systems Biology Branch BRP Alumni Position Available Research Area Clinical Trials Drug Discovery and Pre-Clinical Development Molecular Cancer Diagnosis Biomedical Imaging Computational and Systems Biology Biostatistical Research Online Sample Size Calculation Predictive Biomarkers in Phase II/III Clinical Trials Optimal Two-Stage Designs for Phase II Clinical Trials Integrated Phase II/III Study Sample Size Planning for Developing Classifiers Design, Monitoring and Analysis of Bayesian Basket Discovery Trials Bayesian Phase II Single Arm Clinical Trials Software Download Accelerated Titration Design Software BRB-ArrayTools BRB-SeqTools TPWshiny D3Oncoprint OpenGeneMed Optimal Two-Stage Phase II Design Software pCR Trial-Level Surrogate Analysis Software MutSpliceDB tmbLab Publications and Reports Reprints Workshop Presentations TMB Calibration Tool NCI TP Workbench Natural Products Analysis MutSpliceDB Welcome to the Biometric Research Program The Biometric Research Program consists of a Biostatistics Branch and a Computational & Systems Biology Branch. The Biostatistics Branch provides statistical leadership and oversight for the national program of therapeutic and diagnostic clinical trials of the National Cancer Institute as well as translational research in developmental therapeutics, diagnostics and cancer imaging. The Biostatistics Branch also conducts research in methods for the design, monitoring and analysis of clinical trials and related studies. It consists of doctoral level statisticians. The Computational & Systems Biology Branch collaborates in the pre-clinical programs of the DCTD to utilize genomic and proteomic technology to identify molecular targets, resistance mechanisms and effective new drugs, drug combinations and biomarkers for guiding treatment. Members of the Computational & Systems Biology Branch conduct research on mechanisms of carcinogenesis and systems pharmacology. The branch develops bioinformatic systems to support genomic variant based clinical trials and to enhance the ability of biologists and pharmacologists to analyze and interpret genome-wide data. The branch also collaborates in the analysis of genomic data from the clinical trials program of the NCI. The Computational & Systems Biology Branch consists of doctoral level staff with diverse backgrounds such as computational biology, bioinformatics, computer science, biology, pharmacology, medicine and biomedical engineering. The philosophy of the Biometric Research Program is to have the staff combine two functions: (i) collaboration and consultation with the staff of the DCTD and intramural investigators of the NCI; and (ii) conduct self-initiated research on topics important to cancer research. Combining these functions has enabled the program to recruit and retain an expert staff and to provide the highest quality collaborations to DCTD and NCI scientists. It has also enabled the program to conduct research that has impacted the field and is motivated by key problems of current cancer research. The program does not have a grant, cooperative agreement or contract portfolio and does not sponsor extramural research. Associate Director Dr. Lisa Meier McShane, the Associate Director, leads the Biometric Research Program, Division of Cancer Treatment and Diagnosis, U.S. National Cancer Institute, National Institutes of Health. She has oversight and strategic planning responsibilities for the two branches comprising the Biometric Research Program, Biostatistics Branch and Computational and Systems Biology Branch. She holds a doctoral degree in Statistics from Cornell University in Ithaca, NY and is an elected Fellow of the American Statistical Association. She is an internationally recognized expert on precision medicine clinical trial design; development of tumor markers and omics predictors for prognosis, therapy selection, and disease monitoring; and reporting guidelines for health research studies. More… News & Resources NCI COVID-19 Resources sBRP Home Contact BRP Site Map Accessibility Disclaimer Policy FOIA HHS Vulnerability Disclosure U.S. Department of Health and Human Services National Institutes of Health National Cancer Institute USA.gov NIH… Turning Discovery Into Health...
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