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Principles of Epidemiology, Teaching Assistant
Principles of Epidemiology, Teaching Assistant
Semesters: Fall 2017, Fall 2018, Summer 2019, Summer 2020*
Course Description: This course introduces epidemiology as a basic science for public health and clinical medicine. It addresses the principles of the quantitative approach to public health and clinical problems. The course discusses measures of frequency and association, introduces the design and validity of epidemiologic research, and gives an overview of data analysis. This course is an introduction to the skills needed by public health professionals to interpret critically the epidemiologic literature. It provides students with principles and practical experience needed to initiate the development of these skills.
Duties:
Helped design and lead workshops
Offered private and small group tutoring
Designed and lead exam reviews
Graded workshops and exams
*Due to the COVID-19 pandemic, the Summer 2020 course was taught virtually. I led workshop discussions through Zoom, and I helped develop online exams through Moodle.
MISCLASSFICATION PRAC QEUS.pdfExercise on Information Bias
Exercise on Information Bias
This exercise was designed for students to practice differentiating between differential and non-differential classification and the corresponding effects on the measures of association.
Final Exam Review.docxFinal Exam Review Sheet
Final Exam Review Sheet
This Christmas-themed review worksheet was designed for the final exam for this class. Topics covered include disease frequencies, measures of associations, screening and outbreak investigations.
Exam 3 Review.pptxFinal Exam Review Slides
Final Exam Review Slides
These are the slides for the final exam for this class. This review covers disease frequencies, measures of association, study designs, screening, and outbreak investigations.
Design and Analysis, Teaching Assistant
Design and Analysis, Teaching Assistant
Semester: Fall 2019
Course Description: The course is designed to integrate and apply concepts learned in previous biostatistics and epidemiologic methods courses as they relate to epidemiologic studies. The conceptual basis for the design, conduct, and analysis of observational and experimental studies will be covered, focusing on providing students with data analysis, interpretation, and presentation skills. Students gain hands-on experience in designing and analyzing studies through classroom sessions and homework assignments.
Duties:
Lead in-class exercises
Helped in developing assignments
Taught a lecture on Model Building and Directed Acyclic Graphs
Offered office hours for SAS programming
Graded assignments and final exam
DAGs Review.pdfSample Lecture on Direct Acyclic Graphs
Sample Lecture on Direct Acyclic Graphs
A brief overview in the terminology and constructing of directed acyclic graphs for the use in epidemiologic research. Students learned how to choose a minimum sufficient adjustment set for their study objective. A discussion on the reasoning behind adjusting for colliding variable is not permitted
DAGS in class exercise _STUDENT.docxSample In-class Exercise on Directed Acyclic Graphs
Sample In-class Exercise on Directed Acyclic Graphs
Students are expected to construct a complex directed ayclic graph using DAGittyy based off a peer-reviewed journal article. Students are expected to state the minimum sufficient adjustment set and to discuss why they did not adjust for a collider variable.
Answer key provided by e-mail request.
Answer key provided by e-mail request.
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