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Statistics in Medicine

Sunday, February 28, 2016
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Course Overview

The course focuses on real examples from the medical literature and popular press. In the process, students will learn how to read, interpret, and critically evaluate the statistics in medical studies.
The course also prepares students to be able to analyze their own data, guiding them on how to choose the correct statistical test and how to avoid common statistical pitfalls. Optional modules cover advanced math topics and basic data analysis in R.

Specific topics include:

  1. Describing data (types of data, data visualization, descriptive statistics)
  2. Statistical inference (probability, probability distributions, sampling theory, hypothesis testing, confidence intervals, pitfalls of p-values)
  3. Specific statistical tests (t-test, ANOVA, linear correlation, non-parametric tests, relative risks, Chi-square test, exact tests, linear regression, logistic regression, survival analysis; how to choose the right statistical test)

You will learn:

  • Read, interpret, and evaluate statistics in medical studies
  • To analyze and describe your own data
  • Avoid common statistical pitfalls

Prerequisites: None.
Cost: Free.

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