Biostatistics, Epidemiology, Research Design (BERD)

The Biostatistics, Epidemiology, Research Design Core (BERD) was created to enhance clinical and translational research across the NJ ACTS community by providing professional, high quality study design, quantitative and qualitative (mixed methods) data analysis, survey research and data management services, development of innovative methodologies, as well as extensive group and individual training and instruction in biostatistics, epidemiology, and research design. These efforts, while supporting junior faculty and other investigators across the NJ ACTS and larger Rutgers and RWJ Barnabas Health community, were built with a particular focus on ensuring quality skills-based training opportunities for trainees.

BERD Workshop Training Series

Biostatistics, Epidemiology, and Research Design (BERD) Workshops provide educational opportunities for clinical and translational researchers to develop basic skills and understanding in study design and data analysis.

Date & Time Title Presented by
5-30-2024 An Introduction to Linear Regression with Applications in R
View on Cavas
For access, contact Natale Mazzaferro at nm482@sph.rutgers.edu
Nancy Liu
ScM
Biostatistician for RUBIES
4-25-24 An Introduction to Epidemiology: Key Measures and Study Designs
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For access, contact Natale Mazzaferro at nm482@sph.rutgers.edu
Michelle Bover Manderski, PhD, MPH
Assistant Professor of Epidemiology
Rutgers School of Public Health
Rutgers Institute for Nicotine and Tobacco Studies
3-7-24 Team Science: Overview and Case Studies from the NJ ACTS Team Science Core
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For access, contact Natale Mazzaferro at nm482@sph.rutgers.edu

Ralph A. Gigliotti, PhD

Nancy E. Reichman, PhD

Daniel B. Horton, MD, MSCE

2-8-24 Introduction to Biostatistics
View on Canvas
For access, contact Natale Mazzaferro at nm482@sph.rutgers.edu
Jaya M. Satagopan, PhD
Professor of Biostatistics & Associate Dean for Faculty Affairs
Rutgers School of Public Health

 

Additional Workshop Resources are available in CANVAS including:

  1. Setting the Stage: An Introduction to Biostatistics and Epidemiology for Researchers
  2. Statistical Design Considerations for Randomized and Exploratory Clinical Trials
  3. Best Practices in Data Management for Researchers
  4. Introduction to R for Clinical and Translational Research

NJ ACTS Biostatistics and Epidemiology Workshop Series
To access BERD CANVAS content, contact Natale Mazzaferro at nm482@sph.rutgers.edu

 

BERD Special Guest Lecture Series
Date & Time Title Presented by
1-10-23 Model-robust and efficient covariate adjustment for cluster-randomized trials
Bingkai Wang, PhD
University of Pennsylvania
12-19-22
11 pm
Online statistical inference in streaming data: renewability, dependence, and dynamics
Lan Luo, PhD
University of Iowa
12-13-22
11 pm
Dimension Reduction in Observational Studies of Alzheimer’s Disease
Sarah Weinstein, MS
University of Pennsylvania

 

To access this content, contact  Jennifer Zabala at zabalaje@shp.rutgers.edu

RUBIES Project Support

Rutgers University Biostatistics & Epidemiology Services (RUBIES) is a center within Rutgers Biomedical and Health Sciences and the Rutgers School of Public Health that provides fee-for statistical support, including design, programming, data management, and data analysis, to investigators throughout Rutgers University. RUBIES team members complete requested services with the Faculty Director or other associated Faculty members where appropriate.

To request RUBIES services, click here.

To view Our Guide to working with RUBIES, click here

 

Contact Us:

Jason Roy, PhD
RUBIES Director
732-235-9168
jason.roy@rutgers.edu
Patricia Greenberg, MS
RUBIES Manager
732-235-6093
patricia.greenberg@rutgers.edu

 

BERD Recommended Resources
BERD Mini-Methods Grants - Previously Awarded
Investigator Project Title Year Awarded
Wei (Vivian) Li Understanding Cell Type Specific Gene Regulatory Networks 2019
Yaqun Wang New Statistical Models for Cancer and Precision Medicine Studies with PDX Trial 2019
Suril Gohel Multimodal Neuroimaging Based Markers of AD Progression 2019
Mark McGovern How Common are Missing Data in HIV RCTs and How is the Problem Handled? Gathering Preliminary Data to Assess the Consequences of Assuming Missing at Random. 2020
Jaya Satagopan Statistical and Computational Methods for Evaluating Variation in Survival Across US Counties for Multiple Cancers: The CANSUR Project 2021

Leadership Team

Jason Roy, PhD

Jason Roy, PhD

Chair and Professor

Dept. of Biostatistics and Epidemiology
Rutgers School of Public Health
Director, Rutgers University Biostatistics and Epidemiology Services Center (RUBIES)
Email: jason.roy@rutgers.edu

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Zhi Wei, PhD

Zhi Wei, PhD

Professor & Associate Chair for Graduate Studies

Brandon Stewart, PhD

Brandon Stewart, PhD

Assistant Professor

Department of Sociology
Department of Politics, Office of Population Research
Princeton University
Email: bms4@princeton.edu

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Patricia Greenberg, MS

Patricia Greenberg, MS

Manager & Senior Biostatistician

Rutgers University Biostatistics and Epidemiology Services Center (RUBIES)
Email: patricia.greenberg@rutgers.edu

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Natale Mazzaferro, MPH

Natale Mazzaferro, MPH

BERD Core Navigator

Rutgers University Biostatistics and Epidemiology Services Center (RUBIES)
Email: nm482@sph.rutgers.edu

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