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Courses

Statistical Reasoning in Public Health I

June 10 - 19, 2024
1:30 p.m. - 5:00 p.m.
3 credits

Course Number: 140.611.11 (in-person)
                                  140.611.49 (synchronous online) 


This is a hybrid course with both a synchronous online section (140.611.49) and an in-person section (140.611.11). 
You'll be able to indicate which section you want (either in-person or online) when registering in SIS.

 

"I think the course is very well organized to communicate the content effectively. Dr. Blades does a phenomenal job with pacing for a course that happens in such a tight window. She knows how much content can fit in every day. She also does an amazing job of keeping everything on track timing wise for us to get our work done on schedule. Dr. Blades is also incredibly kind and considerate when answering questions during lecture. She takes the time to kindly address individual concerns as they come up. She is also exceptionally accommodating to individual student needs. She is a fantastic instructor!"—Student, 2023

"The instructor, Dr. Blades, is definitely one of the strengths of this course. She's great at teaching topics in a way that can be easily understood and applied to real-world situations."—Student, 2022


Course Instructor:

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:

Exams

Instructor Consent:

No consent required

Location: Baltimore

Grading Options: Letter Grade or Pass/Fail

No Auditors

Not open to undergraduates