Slide presentations - This page and slide contents may be updated

1. study design

2. descriptive stats (including survival & binary data), Sensitivity, Specificity and ROC

3. Probability theory and distributions: Normal, binomial, Poisson – Bayes rule

4. Confidence intervals & hypothesis testing, p values

5. Sample size for precision and power, multiple hypothesis testing

6. Analysis of variance (ANOVA)

7. Chi square and F tests – overall tests

8a. Simple Linear Regression

8b. Multiple regression – brief intro to linear, logistic, Poisson & Cox regression

9. Logistic regression

9B. Tree models

9C. Propensity scores & logistic regression

10. Survival and Cox regression

11. Factor analysis

12. Tips for stats in publications