#
140.611.01
Statistical Reasoning in Public Health I

Location

East Baltimore

Term

1st Term

Department

Biostatistics

Credit(s)

3

Academic Year

2023 - 2024

Instruction Method

In-person

Tu, Th, 10:30 - 11:50am

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

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)