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Evidence Based Medicine Thread in the College of Medicine Legacy Curriculum: Biostatistics Course

Biostatistics Course

The Biostatistics course is part of the EBM thread of the COM curriculum.

Course Director: Kris Baughman, Ph.D.

Asst. Course Director: Rebecca Fischbein, Ph.D.

Relevant Previous Course Work

HSC I Research Design lecture

Other COM Courses that You Will Use Biostatistics

  • HSC III & IV
  • M3 & M4 years
    • Including PBLI presentations

Course Description

This course provides an introduction to statistical concepts used in clinical studies. Topics include research designs, descriptive and inferential statistics, epidemiology measures, correlation and regression techniques, hypothesis testing, and diagnostic test accuracy. Students will learn how to understand, interpret, and critically evaluate evidence from clinical studies. The focus will be on understanding and interpreting statistics in the scientific literature rather than how to analyze data.

Course Objectives

At the end of the course, the student will be able to:

  1. Describe the following approaches to clinical research design and common statistical tests used in these studies: meta-analyses, systematic reviews, randomized controlled trials, case-control studies, cohort studies, descriptive studies, and qualitative studies.
  2. Calculate and interpret standard EBM measures such as number needed to treat, number needed to harm, event rates, relative risk, odds ratios, sensitivity, and specificity.
  3. Distinguish between nominal, ordinal, and interval types of measurement and indicate which statistical tests are appropriate for each type of measurement.
  4. Interpret the risk of disease based on results from diagnostic and screening tests.
  5. Describe Type I and Type II errors and how they affect the statistical significance and power of a test.
  6. Distinguish between null and alternative hypotheses, state the basic steps of hypothesis testing, and interpret confidence levels.
  7. Evaluate the clinical literature to estimate the probability of drugs and treatments benefiting or harming patient populations.

Course Resources