140.612.11
Statistical Reasoning in Public Health II

Cancelled

Location
East Baltimore
Term
Summer Institute
Department
Biostatistics
Credit(s)
3
Academic Year
2025 - 2026
Instruction Method
In-person
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Daniel Obeng
Contact Name
Ayesha Khan
Frequency Schedule
Every Year
Prerequisite

140.611

Description
Provides students with a broad overview of biostatistical methods and concepts used in the public health sciences. Emphasizes the application and interpretation of study design and various regression methods.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Interpret the results from univariable regressions to assess the magnitude and significance of the relationship between an outcome variable (continuous, binary, or time-to-event) and a binary, categorical, or continuous predictor variable
  2. Assess the strength of a linear relationship between two continuous variables via the coefficient of determination (R-squared) and/or the correlation coefficient
  3. Explain the assumption of proportional hazards, and what this means regarding the interpretation of hazard (incidence rate) ratios from Cox regression models
  4. Describe the conditions necessary for an exposure/outcome relationship to be confounded by one or more other
  5. Explain the concept of effect modification, and how it differs from confounding
  6. Utilize the results from multivariable regression models (linear, logistic, and Cox) to assess for confounding and effect modification
  7. Use the results from linear regression models to predict the mean value of a continuous outcome variable for different subgroups of a population defined by different predictor set values
  8. Use the results from logistic regression models to predict the probability of a binary condition for different subgroups of a population defined by different predictor set values
Methods of Assessment
This course is evaluated as follows:
  • 40% Homework
  • 60% Final Exam
Instructor Consent
No consent required
Special Comments

This is a hybrid course with both an in-person section (140.612.11) and a synchronous online section (140.612.49). Please choose the modality you need (either in-person or online) when registering in SIS.