This course provides a basic primer in statistical methods commonly used in the design of clinical trials. Topics covered are expected include data reporting and descriptive statistics, probability, estimation, hypothesis testing (parametric, non-parametric, and categorical), multisample inference, regression and correlation. Sample size and power estimation methods will be developed for various hypothesis testing scenarios.
ALS 413 prior to course
It is expected that students who have taken this course will be able to carry out basic statistical analysis for clinical trial applications.