The Biostatistical Working Group works closely with the data management group, clinical researchers and clinical research centers informatics core biostatisticians to ensure quality statistical design and that statistical analyses fit with the context of clinical practice.

Co-Leads for RTRN Biostatistical Working Group

Dr. Jae Eun Lee
Jackson State University

Dr. Daniel Sarpong
Jackson State University

Dr. James Rochon
Duke University, Durham

RTRN Biostatistical Capacity and Needs Assessment

The specific aims of the assessment are to assure if RCMI institutions possess available capacities to perform the statistical activities for the current and upcoming projects, to evaluate current and upcoming statistical needs, to assess the potential challenges, and to develop the possible strategies to maximize the biostatistical capacities of RCMI institutions. The information obtained from the assessment will be used to develop and enhance the biostatistical programs and services of the RTRN; establish the RTRN Biostatistical Working Group, and ensure that we continually provide RTRN researchers with valid, relevant and quality statistical analyses and methodologies for multi-institutional studies/trials anticipated for the network

The assessment relied on the information gathered in response to the 7 items dominating the survey: contract type, academic degree, software packages/programs in use, years of experience, current and upcoming statistical issues, services needed and so on. Responses were provided by the program director/manager or a lead biostatistician at each institution. The respondents were encouraged to discuss the survey with others at their site to ensure thorough and accurate answers. The survey form and memo were disseminated to the program directors/managers of 18 RCMI institutions on April 7, 2008; and to ensure adequate participation two reminder notices were e-mailed on April 29 and May 27. Data collection closed on June 17, 2008.
Report of RTRN Statistical Capacity Assessment

Statistics Seminars

Computing Power and Sample Size 02/18/09
Lecturer: Dr. Jimmy Efird
University of Hawaii at Manoa
Presentation
GxE SAS File
hochberg SAS File

Effective Clinical Trial Design: Randomization, Blinding and Replication 10/29/08
Lecturer: Dr. Daniel F. Sarpong, Ph.D.
Jackson State University
Jackson Heart Study