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Statistical Methods in Public Health IV


4th term
4 credits
Academic Year:
2022 - 2023
Instruction Method:
Synchronous Online
Class Times:
  • Tu Th,  10:30 - 11:50am
Auditors Allowed:
Yes, with instructor consent
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
John McGready
Frequency Schedule:
One Year Only

140.621, 140.622 and 140.623 OR 140.611, 140.612, 140.613. 140.614, AND 140.620


Builds on the concepts, methods, and computing (Stata, R) covered in Statistical Methods 1,2, and 3. Focuses on investigating scientific questions via data analysis and clearly communicating the methodology and results. Uses examples from the contemporary and public health literature and allows students the opportunity to work with their own data over the duration of the class.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Specify a scientific question than can be investigated via data analysis culminating in the modeling of an outcome (continuous, binary time-to-event) on explanatory variables using a linear, logistic, or survival regression model (Cox, Poisson)
  2. Organize and manage a dataset(s) both in preparation of, and dynamically during analyses relevant to the data-based investigation
  3. Write an analytical plan for the data-based investigation and use this to as the basis for a “Methods” section for a corresponding scientific article
  4. Design and create graphical and tabular summaries that efficiently convey information relevant to the primary scientific question
  5. Construct a “Table 1” (a table that includes summaries of subject characteristics, typically for each level of the primary exposure of interest) for a corresponding scientific article
  6. Run simple and multiple regression models relevant to the primary scientific question(s)
  7. Construct a table of regression model(s) results for a corresponding article
  8. Write a “Results” section for a corresponding scientific article
  9. Organize and annotate relevant code for all analyses related to answering the scientific question in a .do (Stata) , .R or .Rmd file according to the principles of reproducible research
Methods of Assessment:

This course is evaluated as follows:

  • 70% Assignments
  • 5% Research Plan (Written Submission)
  • 5% Draft of
  • 5% Giving Feedback to Peers on Research Plan and Table 1 Submissions
  • 15% Methods and Results Write-up

Instructor Consent:

No consent required

Special Comments:

Synchronous labs at various times