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Research Commons

The CCTS Biostatistics, Epidemiology & Research Design (BERD) unit draws from expertise throughout the CCTS Partner Network (UAB, UA Tuscaloosa, UMMC, USA, and PBRC) to provide robust methodological support in a broad array of research-critical disciplines: study design, statistical genetics, regression techniques, power calculations, data management, and bioinformatics. Our BERD team also seeks to enhance reproducibility in clinical and translational sciences, provide educational opportunities in BERD techniques, and develop new, cutting-edge methodologies.

Check out our team and let us know how we can help you improve your research project, journal paper, or grant. Contact This email address is being protected from spambots. You need JavaScript enabled to view it. to arrange a consultation!


Leadership

        Bob Oster                                                           
 Bob Oster, PhD
 BERD Co-Director 
 Division of Preventive Medicine 
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Bob Oster                                                           
 Amanda Anderson, PhD
 BERD Co-Director 
 Department of Epidemiology
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BERD Collaboratory

Pennington Biomedical Research Center

Johnson

William Johnson, PhD
Professor
Department of Biostatistics and Analysis
225-763-2932 

   

University of Alabama at Birmingham 

ELevitan headshot

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Associate Professor
Department of Epidemiology 
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PengLi UAB

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Assistant Professor
School of Nursing
205-996-0376
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Paul MacLennanPaul MacLennan, PhD
Associate Professor
Department of Surgery
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McGowin

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Professor and Vice Chairman
Department of Epidemiology
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Helen Zhai

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CCTS Biostatistician
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Joshua S. RichmanJoshua S. Richman, MD, PhD
Associate Professor
Department of Surgery
205-975-1932
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Ashutosh TamhaneAshutosh Tamhane, MD, PhD
Assistant Professor
Department of Medicine
205-975-8606
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University of Alabama

Griswold

Hui Wang, PhD
Professor
Institute for Rural Health Research

   

Auburn University

   
redden

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Professor and Vice Chair
Department of Biostatistics
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University of South Alabama 

Mulekar

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Professor 
Department of Mathematics and Statistics
251-460-6264
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