LOCALE: Toronto, ON, Canada
DATES: October 3-4, 2008

COURSE OUTLINE

Extracting true, meaningful information from a data set with enough confidence to guide future research projects involves a solid understanding of statistics. The CBW Faculty has developed a 2-day intensive course covering all of the essential topics in statistics needed to improve your understanding and use of statistics in your research. Using common research scenarios such as microarray data, flow cytometry and SNP data, participants will gain practical skills and understanding on the essential statistics in biology.

Each module contains approximately 1.5 hours lecture, 30 minute break and a lab.

DAY 1: Modules: (1) Exploratory data analysis and common statistical assumptions in biology, (2) Hypothesis testing, (3) Multivariate analysis, and (4) Bayesian vs. Frequentist

DAY 2: Modules: (5) Linear Regression Modeling Strategies, (6) Binary logistic regression, (7) Survival analysis models, and (8) Statistics for Genome-wide Association Studies

LEAD FACULTY (2008): Raphael Gottardo & Laurent Briollais
REGISTRATION FEE: $750 + GST

Register now as space is limited to 30 participants. A comprehensive lecture and laboratory manual will be provided.

FOR MORE INFORMATION

Full details and application forms: http://bioinformatics.ca/workshops/statistics