140.611.81
Statistical Reasoning in Public Health I
Location
Internet
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
Asynchronous Online
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Introduction to Online Learning.
Provides students with a broad overview of biostatistical methods and concepts used in the public health sciences. Emphasizes the interpretation and conceptual foundations of statistical estimation and inference.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Provide examples of different types of data arising in public health studies
- Interpret differences in data distributions via visual displays
- Calculate and interpret confidence intervals for population means and proportions and incident rates using data from single samples
- Compute the mean difference and explain why a mean difference can be used to quantify differences in a continuous measure between two samples (and ultimately two populations)
- Compute, compare, contrast and interpret risk differences, relative risks and odds ratio when comparing binary outcomes between two populations
- Compute incidence rates and incidence rate ratios
- Construct, and interpret, Kaplan-Meier estimates of the survival function that describes the "survival experience" of a cohort of subjects
- Explain and unify the concept of a confidence interval whether it be for a single population quantity, or a comparison of populations
- Perform hypothesis tests for populations comparisons and interpret the resulting p-values
- Select methods to evaluate public health programs
Methods of Assessment
This course is evaluated as follows:
- 60% Homework
- 20% Quizzes
- 20% Exam(s)