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.
• 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.
Recorded: 19 Jan 2012