Advanced topics in generalizability theory will be introduced. Format is that of a small group, problem-based learning. Students' grasp of clinical trial methodology will allow students to prepare successful grant applications. This course will examine biostatistical methods for the analysis of categorical data. The course begins with an examination of methods for analyzing simpler contingency tables, including measures of association.
Primary attention is given to log-linear models and logistic regression.
The focus can be adjusted to suit the needs of students. This course will consider important statistical issues relating to design, analysis and interpretation of randomized clinical trials. Specific topics will include issues in sample size determination, sequential methods, repeated data evaluation, data monitoring, analysis of survivorship data and competing risks. This course will be taught in small group tutorials. Standard epidemiologic measures of disease frequency, demographic health indicators and survey research methodology are reviewed.