Our services in data analysis include consulting on a wide variety of subject areas, including mathematical modeling, machine learning, econometrics, and biostatistics. Our team includes experts in statistical sampling techniques, survey instrument development and testing, qualitative and quantitative experimental design, forecasting and predictive modeling, human factors research, and clinical trials management.
SupStat has teamed up with Transwarp Technologies to help enterprises migrate from traditional database systems to high efficiency Hadoop-Spark-based parallel data storage and computing. The Transwarp Data Hub is not only faster than other data warehouse solutions, but it provides convenient query, analytics, and visualization interfaces through integration with SQL, R, and Tableau.
Applying cluster analysis to study patterns of physical activity in pregnant women in the Blossom Project
Helping researchers in animal behavior improve survey design by using random forest analyses and multivariate logistic regression to highlight significant questions
Building a scoring system for predicting incidence of animal disease using the machine learning techniques of group lasso regularization and ROC analysis