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.
A basic knowledge of mathematical methods at the level of the Math ramp-up course is necessary. Additional exposure to concepts in probability and statistics is desirable but not a hard pre-requisite. Students who feel they need additional grounding in probability and statistics are encouraged to take ALS 413, although again this is not a hard pre-requisite.
It is expected that students who have taken this course will be able to carry out basic statistical analysis for clinical trial applications.