OBJECTIVES
- After the successful completion of this course, participants will understand and be able to implement the fundamental principles and methods of health research such as:
- Critically evaluate medical literature by describing the basic principles of quantitative methods, including disease (outcome) measures, measures of association, study design options, bias, confounding, and effect modification
- Describe the use of descriptive statistics, probability distributions, and sampling
- Understand concepts of event outcomes, mutual exclusivity, and independence
- Conduct hypothesis testing, construct and describe confidence intervals based on study outcomes and explanatory factors
- Apply and interpret methods for the analysis of tabular and discrete data (contingency tables)
- Apply and interpret methods for correlation and regression analyses (linear regression and logistic regression)
- Apply and interpret methods for survival analysis (K-M curve, Log-rank and Cox regression analysis)
- Conduct a peer review of a journal article
COURSE FORMAT
- This is an online course with 10 topics spanning approximately 2 months.
- Video modules covering each topic will be made available for online viewing.
- Short assignments with feedback will be incorporated into the course structure.
- Videos can be viewed on a participant’s schedule, but homework assignments are due at specific times
- Homework answers and explanations will be posted after the assigned date
| Lecture | Faculty | Topic | Stata |
|---|---|---|---|
| 1 | Horiana Grosu | Introduction to epidemiology, main ideas | Data description and graphs |
| 2 | Horiana Grosu | Introduction to data description | More on graphs |
| 3 | Horiana Grosu | Basics of probability | Calculation mean in STATA |
| 4 | Horiana Grosu | Hypothesis testing and ttest | ttest in STATA |
| 5 | Horiana Grosu | Analysis of proportions, chi2 and Fischer exact test | Chi2 and Fischer exact test in STATA |
| 6 | Samira Shojaee | Simple and Multiple linear regression | Simple and Multiple linear regression in STATA |
| 7 | Samira Shojaee | Simple and multiple logistic regression | Simple and multiple logistic regression in STATA |
| 8 | Horiana Grosu | Survival analysis | K-M curve in STATA Log Rank test |
| 9 | Horiana Grosu | Cox regression | Cox regression in STATA |
| 10 | David Ost | Peer review an article |
FACULTY
Horiana B. Grosu, MD, MPH (Course Director)Associate Professor
University of Texas, MD Anderson Cancer Center
Houston, Texas
Samira Shojaee, MD, MPHAssociate professor of Medicine and Thoracic Surgery
Vanderbilt University
Nashville, Tennessee
David Ost, MD, MPHProfessor
University of Texas, MD Anderson Cancer Center
Houston, Texas
