- Help writing on statistical parts for NIH proposal submissions, and checking for correctness of statistical components for publications
- Biomedical data analysis, public health and epidemiology, Carle foundation
- Crop science, agriculture and animal science
- Sports and recreation, kinesiology and community health, nutritional sciences
- Social work, sociology, history, anthropology, library science
- Business and marketing, law
- Civil and environmental engineering, agricultural and biological engineering, computer science
- Chicago PACE bus system project
- Government contracts
- Climate change and environmental studies
- Detect fraudulent trading
- Detect cheating for multiple choices of questions for testing
- SAS programming and quality control for Biofortis
- Future sales prediction for Store Supply Warehouse
- Environmental data analysis for Waterborne Environmental
Areas of Expertise
Our statistical methodology expertise can assist you with:
- Analyzing most types of data:
- Experimental data
- Survey data
- Clinical trial data
- Multivariate data
- Categorical data
- Time series data
- Network data
- Panel and longitudinal data
- Data with missingness
- Functional data
- Survival analysis
- Bioinformatics
- Modeling and interpretation:
- Linear regression
- Analysis of variance
- Generalized linear models
- Estimating equations
- Variable selection
- Graphical models
- Dimension reduction
- Mixed effects models
- Bayesian methods
- Machine learning
- Semi-parametric and non-parametric inference
Our Statistical Computing Resources
Our statistical computing expertise includes R, SAS, SPSS, STATA, MATLAB, Excel, perl, Hadoop, and various computing platforms