SPRING 2014 BMED 2400 A

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INTRODUCTION TO BIOENGINEERING STATISTICS

Statistical Methods in Biomedical Engineering

Distributions and Models, Inference, Fundamentals of Regression and Experimental Design.


Philosophy
This course is concerned with the use of statistical inference for the modeling and analysis of data from a variety of sources under the umbrella of biomedical engineering research. The orientation is applied rather than theoretical, but such theory as is necessary for a proper understanding of the methods will be covered. Data from engineering, biology, and medical practice will be analyzed during the course. Coverage will include: design of biomedical studies, sample size problem, prediction via a statistical model, testing hypotheses, Bayesian methods, etc.


Software Support
The course will be supported by MATLAB and WinBUGS

Agenda
  1. Data and Descriptive Statistics
  2. Distributions as Models for Observations
  3. Normal Distribution and Relatives
  4. Estimation and Testing Statistical Hypothesis
  5. Bayesian Approaches
  6. Two Sample Problems
  7. One- and Two-Way ANOVA. Block Design. Examples of more complex experimental designs.
  8. Some Non-parametric Procedures
  9. Tables and Chi-Square Theory
  10. Regression Linear, Logistic and Poisson
  11. Case studies

Copyright © 2014 Brani Vidakovic. The course pages may not be reposted without written permission and may not be reprinted for profit.