CSCAR staff have expertise in the following areas (feel free to contact us even if you are not sure whether your needs fit into one of these areas):
- Formulation of research aims and development of plans for data collection and analysis
- Statistical study design issues including power analysis and sample size assessment
- Descriptive statistics and statistical graphics
- Interpretation and presentation of statistical findings
- Modeling of data, including regression techniques, and advanced modeling techniques for dependent and partially observed data
- Implementation and optimization of algorithms for statistical computations
- Methods for high dimensional data
- Text mining and statistical text analysis
- Statistical analysis of images, video and sound data
- Time series analysis
- Methods for causal inference
- Biostatistical analyses
A partial list of specific statistical tools that we are very familiar with would include: linear and generalized linear regression analysis, survival analysis, methods for dependent data including mixed models and GEE, dimension reduction including factor analysis and Principal Components Analysis, structural equations modeling, mediation analysis, power analysis, complex sample surveys, dimension reduction regression, hierarchical models, Bayesian methods, bootstrapping, functional data analysis, quantile regression, propensity score matching, graphical models, covariance estimation, nonparametric regression, categorical data analysis, methods for missing data including multiple imputation.
We have worked with researchers in a wide variety of areas. A few examples of application domains we have effectively served are: personalized medicine, official statistics, genomics and genetics, quantitative linguistics, criminology, epidemiology, human growth and development, cognitive psychology neuroimaging, social attitudes, psychiatry, manufacturing, substance abuse, systems simulation, drug design, outcomes research, educational assessment, health services research,logistics, sports analytics, clinical trials, medical claims analytics, demography, vehicle safety, social media analytics, voter behavior, marketing, environmental science, election forensics, forest ecology, economic forecasting, family dynamics, and geohazard assessment.