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INTRODUCTION TO BIOENGINEERING STATISTICS
Statistical Methods in Biomedical Engineering
Distributions and Models, Inference, Fundamentals of Regression and Experimental
Design.
- Philosophy
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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
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 medical practice, biology, and bioengineering will be analyzed during the course.
Coverage will include: design of biomedical studies, sample size problem,
prediction via a biostatistical model, testing hypotheses, Bayesian methods, etc.
- Software Support
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The course will be supported by MATLAB and WinBUGS
- Agenda
- Data and Descriptive Statistics
- Distributions as Models for Observations
- Normal Distribution and Relatives
- Estimation and Testing Statistical Hypothesis
- Bayesian Approaches
- Two Sample Problems
- One- and Two-Way ANOVA. Block Design. Examples of
more complex experimental designs.
- Some Non-parametric Procedures
- Tables and Chi-Square Theory
- Regression Linear, Logistic and Poisson
- Case studies
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