600.709.86
Statistical Concepts in Public Health 1
Location
Internet
Term
4th Term
Department
MAS Office
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
Asynchronous Online
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Biostatistics forms the foundation for quantitative reasoning and methods in public health. All students who study public health need at least a conceptual level treatise of the subject. This course, and its follow-up, fulfill this need.
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. Covers summary measures, measures of association, confidence intervals, p-values, and statistical power.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Provide examples of different types of data arising in public health studies
- Suggest and interpret appropriate numerical and visual measures to summarize data for a given data type and study design
- Calculate standard normal scores and resulting probabilities
- Distinguish between variability individual study observations and variability in sample summary measures across multiple studies of individual observations
- Calculate and interpret confidence intervals for single population measures (means, proportions, incidence rated) and for measure of association comparing two populations (differences in means, differences in proportions, relative risk, odds ratio, incidence rate ratio)
- Interpret p-values from hypothesis tests, and connect these results to the corresponding confidence intervals
- Explain the factors that determine the statistical power of a study designed to compare two or more populations
Methods of Assessment
This course is evaluated as follows:
- 50% Homework
- 25% Quizzes
- 25% Final Exam
Enrollment Restriction
Restricted to students in OPAL degree and certificate programs