140.624.71
Statistical Methods in Public Health IV
Cancelled
 Location:
 Internet
 Term:
 4th term
 Department:
 Biostatistics
 Credits:
 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:
 Yes
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructors:
 Contact:
 John McGready
 Frequency Schedule:
 One Year Only
 Resources:
 Prerequisite:
140.621, 140.622 and 140.623 OR 140.611, 140.612, 140.613. 140.614, AND 140.620
 Description:

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:
 Specify a scientific question than can be investigated via data analysis culminating in the modeling of an outcome (continuous, binary timetoevent) on explanatory variables using a linear, logistic, or survival regression model (Cox, Poisson)
 Organize and manage a dataset(s) both in preparation of, and dynamically during analyses relevant to the databased investigation
 Write an analytical plan for the databased investigation and use this to as the basis for a “Methods” section for a corresponding scientific article
 Design and create graphical and tabular summaries that efficiently convey information relevant to the primary scientific question
 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
 Run simple and multiple regression models relevant to the primary scientific question(s)
 Construct a table of regression model(s) results for a corresponding article
 Write a “Results” section for a corresponding scientific article
 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 Writeup
 Instructor Consent:
No consent required
 Special Comments:
Synchronous labs at various times