| This course in biostatistical methods will emphasize the design of research projects, data gathering, analysis and the interpretation
of results. Statistical concepts underlying practical aspects of biological research will be acquired while working through
the process of scientific enquiry. Computer laboratory sessions will focus on practical data visualization and statistical
analysis using statistical software. Basic statistical methods are reviewed, followed by more advanced topics that will include
some or all of the following: two-factor and multi-factor Analysis of Variance (ANOVA), simple and multiple linear regression,
analysis of covariance, the general linear model, contingency table analysis and logistic regression. Concepts related to
study design that will be discussed include sampling, confounding, paired designs, blocked designs, and factorial treatment
designs.(Also listed as STAT*2250.) Department of Integrative Biology and Department of Mathematics and Statistics.
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