140.611.81
Statistical Reasoning in Public Health I
 Location:
 Internet
 Term:
 1st term
 Department:
 Biostatistics
 Credits:
 3 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Asynchronous Online
 Auditors Allowed:
 Yes, with instructor consent
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 John McGready
 Resources:
 Prerequisite:
 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:
 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, KaplanMeier 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 pvalues
 Methods of Assessment:
This course is evaluated as follows:
 99% Exam(s)
 Instructor Consent:
Consent required for some students
 Consent Note:
nondegree seeking students need instructor's consent
 For consent, contact: