Learning objectives
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 unit content
<br />Universe, population and sample. Variables and related statistical analysis.<br />Random sampling. properties of normal, Poisson and binomial distributions.<br />Descriptive statistics : observations, arithmetic and other means, median, mode and dispersion : standard deviation and standard error. Confidence limits.<br />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<br />Nonparametric methods: Mann Whitney, Wilcoxon's signed rank, Kruskal -Wallis and and Friedman tests. Rank correlation test: Spearman's coefficient.<br />Clinical trials: randomization, double blind and informed consensus
Bibliography
<br />'(Bio)statistica' E. Molina, W. Troise Rioda, Editor: Ed. Scientifiche Oppici<br />'Statistica per disciplineBio-mediche' S. A. Glantz. Editor: McGraw Hill<br /><br /><br /><br /><br /><br />
Teaching methods
<br />Didactics:<br />teaching and learning activities by making use of audiovisual instruments; interactive discussions.<br /> <br />Examination Tests:<br />written exercises of statistical tests<br /> <br /><br />Teachers:<br />SSD MED/01: Prof.Enzo Molina (Coordinator)