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. Study designs in medical research, descriptive and inferential statistics, probability in statistics, research questions about means and proportions in one, two or more than two groups, correlation and regression, nominal and categorical outcomes, development of research question/hypothesis, designing a study, designing surveys, choosing correct statistical test, presenting research data will be reviewed.
ALS 342 (or waiver)
or MSGC or MSGDA program students
It is expected that students who have taken this course will be able to carry out basic statistical analysis for clinical trial applications.