140.611.11
Statistical Reasoning in Public Health I

Description:

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:

1. Provide examples of different types of data arising in public health studies
2. Interpret differences in data distributions via visual displays
3. Calculate and interpret confidence intervals for population means and proportions and incident rates using data from single samples
4. 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)
5. Compute risk differences, relative risks and odds ratio
6. Compare, contrast, and interpret relative risks and odds ratios when comparing binary outcomes between two populations
7. Compute incidence rates and incidence rate ratios
8. Construct, and interpret, Kaplan-Meier estimates of the survival function that describes the "survival experience" of a cohort of subjects
9. Explain and unify the concept of a confidence interval whether it be for a single population quantity, or a comparison of populations
10. Perform hypothesis tests for populations comparisons and interpret the resulting p-values

Methods of Assessment:

This course is evaluated as follows:

• 99% Exam(s)

Instructor Consent:

No consent required

Special Comments:

Course will be taught online via Zoom, on the dates and times the course is scheduled. For further information, please see the Institute website jhsph.edu/summerepi