The course gives the methodological background for planning researches in clinical area and tools for the description and interpretation of data. Students will learn how to choose the statistical tools, based on the type of variables selected. Moreover, stidents will learn how to interpret descriptive results and association between variables.
Course Prerequisites
High school math and probability
Teaching Methods
The plan of the course is based on academic lectures and practical sections (problem solving approach)
Assessment Methods
Examination with practical exercises and closed questions. Students must testify to learn the right application of statistical analyses further then to know the interpretation and communication of evidences from the analyses.
Texts
Lantieri, Risso, Ravera. STATISTICA MEDICA, McGrawHill, 2007 (revisione e adattamento di Lama e Signoriello per la Laurea in Infermieristica) Triola, Triola. Fondamenti di Statistica per le discipline biomediche. Pearson, 2017
Contents
Introduction to Statistic and research planning Research Protocol - Population, sample and sampling methods (simple random sampling; stratified random sampling; cluster sampling). Introduction to sample size - Data organisation: database and dataset Tools for descriptive analysis and interpretation of data - Description of statistical unit and type of variables. Frequency distribution for qualitative and quantitative variables. Graphics - Descriptive statistics: mean, median, mode, centiles, range variance, standard deviation, coefficient of Variation - Skewness and Kurtosis - Normal distribution - Pearson’s correlation coefficient
