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


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