Statistical Reasoning in Public Health I
June 14 - 23, 2021
1:30 p.m. - 5:00 p.m.
Course Number: 140.611.11
This summer this course will be taught online via Zoom, on the dates and times listed above. Registered students will attend their classes virtually via Zoom, in real time with faculty and other students.
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.
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 risk differences, relative risks and odds ratio
- Compare, contrast, and interpret relative risks and odds ratios 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
Methods of Assessment:
No consent required
Grading Options: Letter Grade or Pass/Fail