Researchers and scientists have to commonly process, visualize and analyze large amounts of data to extract patterns, identify trends and relationships between variables, prove hypothesis, etc. A variety of statistical techniques are used in this data mining and analysis process. Using a realistic data from a clinical study, we will provide an overview of the statistical analysis and visualization capabilities in the MATLAB product family.

Highlights include:

•       Data management and organization
•       Data filtering and visualization
•       Descriptive statistics
•       Hypothesis testing and ANOVA
•       Regression analysis

View the MATLAB Code here:  http://www.mathworks.com/matlabcentral/fileexchange/30291

About the Presenter: Asawari Samant is an Application Engineer at MathWorks. She has a B.S. and M.S. in chemical engineering. At MathWorks, she primarily supports the pharmaceutical and biotechnology industry, and the computational biology sector.