## HRP258: Statistics in Medicine

New statistic course offered by Stanford, HRP258: Statistics in Medicine.

### About the course

This course aims to provide a firm grounding in the foundations of probability and statistics. 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 (ttest, 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)

### Course syllabus

**Week 1** – Descriptive statistics and looking at data

**Week 2** – Review of study designs; measures of disease risk and association

**Week 3** – Probability, Bayes’ Rule, Diagnostic Testing

**Week 4** – Probability distributions

**Week 5** – Statistical inference (confidence intervals and hypothesis testing)

**Week 6** – P-value pitfalls; types I and type II error; statistical power; overview of statistical tests

**Week 7** – Tests for comparing groups (unadjusted); introduction to survival analysis

**Week 8** – Regression analysis; linear correlation and regression

**Week 9** – Logistic regression and Cox regression