Methods and Tools
Each member of our team of experienced biostatisticians and bioinformaticians 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
Mixed effects modeling
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.