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140.611.81 Statistical Reasoning in Public Health I

1st term
3 credits
Academic Year:
2014 - 2015
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
John McGready
Course Instructor:

Introduction to Online Learning.


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:

Four homework assignments (12.5% each, for a total of 50%); three quizzes (10% each for a total of 30%); final exam (20%).

Instructor Consent:

Consent required for some students

Consent Note:

non-degree seeking students need instructor's consent

For consent, contact: