Learning objectives
The student should know the basic concepts of biometrics and be able to apply the principal statistical tests in medical research
Course unit content
<br />Universe, population and sample. Variables and related statistical analysis.<br />Random sampling. Normal distribution.<br />Descriptive statistics : observations, arithmetic mean, median, mode and dispersion : standard deviation and standard error. Confidence limits.<br />Estimation and hypothesis testing : 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 and Kruskal -Wallis 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
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