Learning Outcomes

Upon successful completion of the course, the student will be able to:

• Evaluate different types of clinical studies in the context of medical research.
• Discuss different research methodologies used in evidence based practice.
• Analyse statistical data and summarize using standard measures such as mean, median and standard deviation.
• Present data in a graphical form, such as a histogram or boxplot, to provide a summary of large data sets.
• Determine the risk of a false test result using basic probability theory and Bayes' theorem.
• Interpret the results of a hypothesis test as it pertains to clinical studies.
• Explain the meaning of the p-value in the context of a clinical study.
• Evaluate the dependence between patient characteristics and medical conditions using contingency tables and Chi-square analysis.
• Apply linear regression and correlation analysis to bivariate data to test for dependence between variables.
• Explain the meaning and importance of the underlying assumptions behind the statistical procedures commonly used in the health sciences.
• Evaluate articles in clinical journals for statistical significance of the result and appropriateness of the statistical analysis being used.

Effective as of Fall 2016