Spring 2010

Uncertain Knowledge

+

Knowledge of the amount
of uncertainty in it

=

Useable Knowledge

Previous Semesters Web Sites

Course Summary and Objectives

This course builds on the basic ideas in biostatistics introduced in Introduction to Biostatistics (BioEpi 540), which is a pre-requisite. The course provides an introduction to biostatistical analysis in five areas: 

• Regression and correlation analysis;
• Experimental design and analysis of variance;
• Logistic regression and discrete data analysis;
• Repeated Measures models and Mixed models;
• Survival Analysis 

The course will emphasize general principles that span these areas through general linear stochastic models.  Some minimal vector and matrix algebra will be used, and students will apply methods using SAS software. Upon completion of the course, the student will be able choose appropriate strategy for analysis of study data, analyze the data using appropriate software, draw appropriate conclusions, and present the result appropriate for a manuscript or report. 

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