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