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Methods and Tools

Each member of our team of experienced biostatisticians, bioinformaticians, and epidemiologists offers a unique set of skills in statistical methods, statistical programming tools and data visualization.

The following list represents our collective expertise, which will be updated as new tools and methods emerge and are incorporated into our practice.

Methods

Longitudinal data analysis
Survival analysis
Cross-sectional analysis
Regression model building
Mixed effects modeling
Epidemiologic study design and analyses
Tailored survey/questionnaire design
Generalized additive modeling
Natural language processing
Machine learning/AI
Bayesian modeling
Structural equation modeling
Latent Class Analysis
Factor Analysis
Geospatial modeling
Psychometrics:  
    Item response theory
    Measurement modeling
Signal Processing:
    Spectral/Fourier analysis
    Multiscale wavelets
Visual Analytics 
Bioinformatics

 

Tools

SAS
R
Stata
SPSS
C++/Rcpp
Java
Python
Lua
JMP
Mathematica
MATLAB

LaTeX
R Markdown
R Shiny
Overleaf

SQL
MS SQL Server
Excel
Qualtrics
REDCap

GitHub/GitLab
Tensorflow
Unix Shell Scripts
Advanced Resource Computing (ARC)

AMOS
PASS
Mplus
OpenMx
CONN
GIFT

If you would like to work with the Center, please click on the following link and fill out the request form.

If you would like to learn more about how our collaboration process works, please click the following link.