Probability models of in biostatistics. |
Review of probabilistic concepts: density function, distribution function and survival function. Relevant models for random variables in biostatistics. Important concepts in biomedicine: prevalence, incidence, sensitivity, specificity, ROC curve. |
Contingency tables. |
Joint, marginal and conditional distributions. Measures of association. Test of independence. Tables 2x2. Relative risk and odds-ratio. |
Multivariate techniques in biostatistics. |
Principal component analysis. Discriminant analysis. Cluster analysis. Examples of application in biomedicine. |