Full course description
This course provides an in-depth exploration of various clinical trial design types (i.e., cohort, case-study, quasi-experimental, etc.) along with the statistical methods often used respective to each type (i.e., Chi-square test, T-test, non-parametric Wilcox logistic regression, etc.). Other topics discussed include development of a testable research question using PICOT criteria, data collection, and brief explanations on the advantages and disadvantages of each trial design type.
At the end of this course, the learner will be able to:
a. Define different clinical trial study designs (i.e., descriptive, analytic, observational, cohort, case-control, quasi-experimental, crossover, cluster randomized, non-inferiority trials).
b. Formulate a research question using PICOT criteria.
c. Understand how study designs should align with the research question, data collection, and statistical analyses.
d. Define different types of data (i.e., continuous, dichotomous, ordinal categorial, nominal, count, and survival).
1. Clinical trial study designs and the associated statistical methods used
2. PICOT criteria to develop the research question
3. Statistical analysis plan
4. Testing differences among groups
5. Types of data
6. Regression models