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50

50 Years of the Biostatistics Center

A detailed video presentation of the Biostatistics Center’s history including the impact of the Center’s studies and methodological research, the Center’s illustrious faculty and researchers, the education of students, and the career development of researchers can be found here

Twice recognized in Drazen’s Dozen as Studies that Changed Medical Practice

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COVID Related Research

We have recently launched three projects to conduct, analyze, and report on COVID-19 studies. Results from these studies ultimately could help pave the way toward better prevention and treatment for the deadly disease.

The Biostatistics Center Launches Three COVID-19 Projects

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Our Vision

To improve public health and clinical practice by conducting transformative scientific research.

Our work has been recognized in reports to the United States White House and Congress.

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Who We Are

The Biostatistics Center has a staff of approximately 120 with more than 40 biostatisticians and epidemiologists.

One of our projects, the MOMS Study, received the Society for Clinical Trials "Trial of the Year" Award.

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Our History

Founded in 1972, the Biostatistics Center has a 50 year history of leadership in practice-changing clinical trials and biostatistical methodology research.

GW Biostatistics Center Marks 50 Years of Transformational Research.

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Our Mission

Foster biostatistical science by developing and implementing innovative approaches for the design, conduct, analysis, and reporting of clinical research studies.

The Harvard Health Letter named one of our projects the #1 advance in medicine.

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Our Work

Research studies conducted by the Biostatistics Center have resulted in more than 60 publications in the New England Journal of Medicine.

We have received one of Clinical Research Forum’s Top Ten Awards.

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Headlines

 

Featured news and announcements.

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Collaborative Research Projects

The Biostatistics Center provides leadership and expertise to collaborative research projects in areas such as diabetes, maternal-fetal medicine, cardiovascular disease, and infectious diseases. Research studies conducted by the Center have been recognized in reports to the United States President and Congress.
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COVID-19 Community Research Partnership (COVID-19 CRP)

This study aims to conduct real-time syndromic disease surveillance and serosurveillance to estimate incidence and prevalence of COVID-19 among the general population and in subpopulations.

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Maternal Morbidity and Mortality During the COVID-19 Pandemic (MFMU-COVID-19)

This is a cohort study to compare maternal morbidity and mortality among pregnant and postpartum women with COVID-19 with those without the infection, and also to compare morbidity and mortality of this cohort to pre-pandemic deliveries.

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Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE)

GRADE is a clinical trial comparing the effectiveness of 4 major randomly-assigned glucose-lowering medications, in addition to metformin, in 5047 participants with type 2 diabetes over 4-7 years of follow-up to assess metabolic status, side effects, quality of life, beta cell function and micro- and macro-vascular complications.

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Restoring Insulin Secretion Study (RISE)

RISE includes 3 randomized clinical trials examining whether aggressive glucose lowering will lead to recovery of pancreas function (β-cell function) in adults and youth with impaired glucose tolerance (IGT) and early type 2 diabetes.

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Prenatal Genetic Diagnosis by Genomic Sequencing: A Prospective Evaluation (PrenatalSEQ)

The main objective of this multi-center collaborative study is to evaluate sequencing (both whole exome sequencing [WES] and WGS) as a prenatal diagnostic tool in pregnancies with a structural anomaly and a negative or only non-causal karyotype/ chromosome microarray analysis (CMA). 

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Lifestyle Interventions for Expectant Mothers (LIFE-Moms) Consortium

The Lifestyle Interventions for Expectant Moms (LIFE-Moms) Consortium is designed to determine, in pregnant women with overweight or obesity, whether various behavioral and lifestyle interventions reduce excessive gestational weight gain and subsequent adverse maternal and neonatal outcomes and obesity in offspring.
 

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SNP-based Microdeletion and Aneuploidy Registry (SMART)

This multi-center prospective observational study is designed to track birth outcomes and perinatal correlates to the Panorama prenatal screening test in the general population among ten thousand women who present clinically and elect Panorama microdeletion and aneuploidy screening as part of their routine care.
 

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D.C. Cohort Longitudinal HIV Study (DC Cohort)

Since 2009, the DC Cohort is a longitudinal research project designed to collect clinical data from HIV-infected outpatients receiving care at fifteen clinics in the District of Columbia.

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Exercise And Nutrition Interventions To Improve Cancer Treatment-Related Outcomes (ENICTO)

The Consortium supports exercise and/or medical nutrition intervention research designed to improve cancer treatment-related outcomes for therapies delivered with curative or life-extending intent to cancer survivors.

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Metabolic Dysregulation and Cancer Risk Program (MeDOC)

MeDOC is a trans-NCI research program with participation from 4 National Cancer Institute divisions, 5 research grants from different institutions, and a CoC. The goal is to advance the current understanding of cancer’s connection to obesity and metabolic dysregulation in order to improve screening and risk prediction.

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Studies to Treat or Prevent Pediatric Type 2 Diabetes: TODAY2 Phase 2 Follow-up (T2P2)

TODAY2 is the long term follow-up of the youth from TODAY, to track the progression of type 2 diabetes (T2D) and related comorbidities and complications in the TODAY cohort as they transition to young adulthood.

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Maternal Fetal Medicine Units Network (MFMU)

The network is designed to focus on clinical questions in maternal-fetal medicine and obstetrics, particularly with respect to the continuing problem of preterm birth.

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Diabetes Prevention Program Outcomes Study (DPPOS)

The DPPOS aims to assess the long-term effects of interventions used in the Diabetes Prevention Program (DPP) on the development of type 2 diabetes and its complications.

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Antibacterial Resistance Leadership Group (ARLG)

The Antibacterial Resistance Leadership Group (ARLG) is an international cooperative clinical research network funded by NIAID to prioritize, design, and execute clinical research that will impact the prevention, diagnosis and treatment of infections caused by antibiotic-resistant bacteria.

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Epidemiology of Diabetes Interventions and Complications (EDIC)

The primary goal of the EDIC study is to assess the long-term benefits of early intensive blood glucose control on the future development of diabetes-related complications, in participants with type 1 diabetes originally enrolled in the Diabetes Control and Complications Trial (DCCT).

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Collaborative Research Projects

 
COMPLETED PROJECTS
 

Methodological Research

Biostatistics Center researchers advance the center’s mission of collaborative research by developing and implementing innovative practical methods for the design, execution, data monitoring, analyses and reporting of clinical studies. Current Biostatistics Center research includes the design and analyses of studies that focus on patient-focused outcome measures that integrate efficacy and safety, personalized treatment, cost-effectiveness analyses, response-adaptive randomization, and pragmatic evaluation of diagnostic technologies.

 

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Education and Training

To help advance the field of biostatistics research, the Center faculty and staff are active in a wide array of educational and training initiatives, including teaching at professional meetings, publishing educational manuscripts and books, hosting training programs for students and scientific collaborators, and providing mentorship opportunities.

 

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  Rockville, MD 20852-3943
6110 Executive Boulevard
Suite 750

 (301) 881-9260
 info@bsc.gwu.edu

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GW Milken Institute School of Public Health
GW Department of Epidemiology
GW Department of Biostatistics and Bioinformatics
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