Biostatistics and Research Methods

Catalog description

Development of tools necessary in biomedical engineering including gathering information from online and library sources, reading and understanding research articles, understanding experimental design (prospective vs. casecontrolled study, correlation vs. causality etc.), graphing1D and 2D data, computing basic statistics (mean, variance, histogram), evaluating hypothesis tests (t-test, ANOVA), estimating measurement error and propagating errors, computing linear regression coefficients, writing technical reports and giving oral presentations. All visualization and numerical methods will use MATLAB, which will be introduced from the beginning. All methods will be discussed in the context of real-world biomedical problems.