DTCC Biostatistics Department
 

 

   
     
 

 

   
     
     
     
 
 
 

Dr. Jae Eun Lee, Director
jaeeun.lee@rtrn.net
601-979-0337

 
     
     
     
 

DTCC Biostatistics

 
     
     
 

The DTCC Biostatistics division provides quality statistical support to further the endeavors of the RCMI researchers by establishing viable working relationships with the Biostatical Cores at each of the 18 RCMI institutions. The biostatistical division provides expertise in statistical methodology and services applied to clinical studies and consults with clinical research centers (CRCs) on clinical study design and statistical and regulatory issues.


The DTCC Biostatistical Divisions provides the following services:

  • Sample size calculations & power analysis

  • Assisting w/proposal development

  • Protocol review

  • Statistical Analysis Plan

  • Randomization Scheme

  • Data Analysis (interim & final)

  • Preparing Clinical Study Report

  • Statistical Contribution for Publications & Presentations

  • Statistical Quality Control

 
  Biostatistics Working Group  
 

Tools, Resources and Capabilities

 
     

The DTCC Biostatistical Division is supported by the Biostatistical Working groups consisting of consulting biostatisticians. Working in collaboration with Dr. Lee, members of the Work Group provide quality analysis to support all RTRN projects.

DTCC Biostatistical Experts:

Jae Eun Lee, Dr.PH
Director of Biostatistics/Senior biostatistician, DTCC

  • Editorial Board Member for the Journal of Drug Education

  • Served as director of Office of Science in Mississippi State Department of Health, 2003-2005

  • Lead author of a CME paper for American Journal of Physical Medicine and Rehabilitation, 2008

  • Expertise in parametric and nonparametric longitudinal data analysis, latent variable analysis, outcome measurement, medical decision analysis (Optimal operating points and optimal threshold values), Rasch analysis

Keyur Talsania, MS
Genetic Data analyst/SAS programmer

  • Expertise  in Genetic data analysis, SAS programming, data cleaning, basic data analyses, power analysis, multiple regression analysis, data mining, cluster analysis for micro array analysis, Bayesian analysis, etc

Daniel Sarpong, Ph.D
Biostatistician, DTCC Consultant
 

  • Co-Principle Investigator and Coordinating Center Director for Jackson Heart Study (Jackson, MS)

  • Expertise in clinical study design, randomization scheme, cluster analysis, power analysis, data mining, developing and operating data coordinating centers, data management, statistical methods applied to clinical and epidemiological studies, outcomes measurements

James Rochon, Ph.D
Biostatistician, DTCC Consultant

  • Consultant for DTCC

  • Professor of Biostatistics and Bioinformatics, Duke University

  • Expertise in clinical trials methodology, longitudinal data, sample size calculations, obesity research, liver toxicity

  Server-based SAS is a main statistical analysis tool used by the DTCC. Additional supporting statistical programs include RandomAllocation for generating random codes; ConQuest and Winstep for item response theory analysis, PASS for determining sample size, and Latent Gold for use on multi-level models.

Supporting statistical software

Name of program

RandomAllocation v.1.10

ConQuest

Winstep

PASS

Latent Gold

Capabilities

Generating random code

Generalized

Random

Coefficient

Rasch model

Modern item response theory

Sample size

Latent growth model, growth mixture model, Latent class analysis, Multi level model

 
 
     
     

 

   

Funding provided by:

     

RTRN DTCC    Mississippi eCenter, Box 1800       1230 Raymond Road        Jackson, MS 39204     (601) 979-0332