Learning outcomes of the course unit
The student should know the basic concepts of biometrics, be able to analyze and present the biomedical data and to understand the correct application of the principal statistical tests in biomedical research
Course contents summary
Universe, population and sample. Variables and related statistical analysis.
Random sampling. properties of normal, Poisson and binomial distributions.
Descriptive statistics : observations, arithmetic and other means, median, mode and dispersion : standard deviation and standard error. Confidence limits.
Estimation and hypothesis testing , how to determine the samples size: Student's t distribution and t-test for two independent sample means and paired comparison , analysis of variance for two groups , linear correlation and regression. Chi square distribution: contingency tables, Fisher's exact test, McNemar test and Kolmogorov-Smirnov test
Nonparametric methods: Mann Whitney, Wilcoxon's signed rank, Kruskal -Wallis and and Friedman tests. Rank correlation test: Spearman's coefficient.
Clinical trials: randomization, double blind and informed consensus
'(Bio)statistica' E. Molina, W. Troise Rioda, Editor: Ed. Scientifiche Oppici
'Statistica per disciplineBio-mediche' S. A. Glantz. Editor: McGraw Hill
teaching and learning activities by making use of audiovisual instruments; interactive discussions.
written exercises of statistical tests
SSD MED/01: Prof.Enzo Molina (Coordinator)