Biostatistics, Epidemiology, & Research Design Core

Kimberly Drews, PhD
Core Director
Pennington Biomedical

Sudesh Srivastav, PhD
Core Co-Director
Tulane University

Don Mercante, PhD
Core Co-Director
LSU Health New Orleans

Robbie Beyl, PhD
LA CaTS Statistician
Pennington Biomedical

Zhide Fang, PhD
LA CaTS Statistician
LSU Health New Orleans

Arti Shankar
LA CaTS Statistician
Tulane University
Contact this core
Email: biostatistics@lacats.org
About This Core
The primary responsibility of the Biostatistics, Epidemiology & Research Design (BERD) Core is to provide expert guidance in support of clinical and translational research. In this pursuit the BERD group provides front-end assistance to investigators to ensure the use of statistically sound practices which facilitates properly designed and statistically valid studies. The objective deployment of sound investigative methods in planning, executing, analyzing and reporting results of scientific inquiry is fundamental to achieving accurate and efficient advancement of new discovery.
Core Activities & Resources
Study Design: BERD faculty work closely with LA CaTS investigators to design efficient studies with the goal of maximizing information while minimizing resource utilization. This includes performing power and sample size calculations based on preliminary data, developing randomization and analysis plans, and designing epidemiological investigation methods. The BERD Core assists in the selection of inclusion/exclusion criteria in cohorts which are representative of the community population while still being conducive to the development of exploratory hypotheses (e.g., health equality).
Data Management: BERD faculty assist LA CaTS investigators with designing case report forms, establishing range checks and missing data assessment, and data validation to ensure data quality prior to analysis. The faculty can also assist in report building, study set-up, implementing study follow-up and DSMB/OSMB support. They work in collaboration with the data management groups, like those running REDCap, at each institution to ensure that data is properly formatted for efficient storage and retrieval for statistical analysis.
Statistical Data Analysis: Once data are collected, the BERD Core performs statistical data analyses and/or provides guidance to investigators who are performing simple analyses independently. Each BERD faculty member works one-on-one with each LA CaTS investigator to ensure each study has an analysis plan tailored to the needs of the individual study.
Interpretation of Results: BERD faculty assist in transparent interpretation and concise reporting of results. BERD faculty focus on subgroup analyses, specifically vulnerable and minority populations, to examine health disparities.
Manuscript Writing: BERD faculty members develop statistical methods sections and assist in writing results sections for joint publication of manuscripts related to LA CaTS research.
Grant Proposal Writing: BERD faculty assist in grant writing, including performing many of the functions required for planning studies. These functions include, but are not limited to, formulating aims and goals, hypothesis development, power and sample size calculations, and the development of statistical analysis plans.The BERD hosts a seminar series that focuses on contemporary statistical and epidemiological techniques and elements of study design relevant to all LA CaTS investigators. These seminars are hybrid (both in person at a LA CaTS institution and virtual) in format whenever possible with sessions occurring semi-annually.
See past recorded seminars here.
The BERD faculty play an active role in the mentorship of early career researchers. This engagement includes serving on oversight committees for medical fellows, scientific review with feedback during pre-application process for LA CaTS grants, and working directly with post-doctoral fellows and early career faculty as BERD faculty assist with research projects.
Specific Aims
- Provide an easily accessible, user-friendly resource of biostatistics, epidemiology,
and research design expertise for clinical and translational researchers, particularly
those with projects focused on underserved and underrepresented populations in Louisiana.
- Participate in the education of future clinical and translational researchers by providing
training in objective, good-practice, scientific investigation through study-design
methodologies and quantitative statistical practices.
- Expand the knowledge and use of statistical analyses to ensure studies that address disparities and promote health equity are adequately designed and use statistically rigorous techniques.