Learning objectives
At the end of the course students should be able:
- to understand basic principles of research metodology in biomedical field;
- to understand the nature of a variable by assessing its distribution;
- to apply descriptive statistics techniques in order to properly present a dataset;
- to understand basic principles to choose simple tests of inferential statistics.
Prerequisites
Knowledge of basic mathematics, basic knowledge of English.
Course unit content
The first part of the course will introduce basic principles to do a statistic plan and an experimental design, and descriptive statistics. The following arguments will be debated: main probability distributions and the parameters that summarize data - central tendency (mean, median, mode), dispersion (variance, standard deviation), the coefficient of variation (CV), percentiles and their use. The second part of the course will be dedicated to basic principles of inferential statistics. The sampling theory and central limit theorem. Hypothesis test on a mean. Constraints and degrees of freedom. T-Student distribution. Repeated and independent measures t-student test. Non-parametric test. The rank. Mann-Whitney’s and Wilkoxon’s tests. The frequency for categorical/qualitative variables. The sampling of categorical variables. 2*2 contingency tables. Chi-square test for independent data. Screening test. Difference between correlation and regression. Simple linear regression. Correlation coefficient R. Pearson’s and Speraman’s tests.
. We will use freeware software: OPENSTAT-VASSARSTAT-JAMOVI.
Full programme
To see Contents.
Bibliography
Classroom slides (uploaded during the course) are the reference point for the exam.
Some further reference books:
- WW Daniel and CL Cross: Biostatistica, concetti di base per l’analisi statistica delle scienze dell’area medico-sanitaria, Ed. EdiSES.
- M.M Triola, M.F. Triola: Fondamenti di Statistica, Ed. Pearson.
- SA Glantz - Statistica per discipline biomediche - McGraw-Hill.
Teaching methods
During the classroom lectures the topics of the module program will be illustrated and commented. Theory will be accompanied by examples and simulations that will illustrate its practical use. Furthermore, the use of specific software will permit to do and solve directly them. Each theory argument with mathematical formulae will be explained with the use of simple and practice examples, so that the student can focus his/her attention on basic concepts more than the formulae themselves. Furthermore, the use of open source software will permit to the student to repeat the statistical tests treated during classes for a better comprehension of their use and meaning. Several technical terms will be used both in Italian and in English, so that the student can read on his own the international scientific literature, particularly in the field of clinical medicine.
Lectures will be held on-site in compliance with safety standards, provided that further instructions on the ongoing health emergency are not implemented. Supporting material will be available on the specific, student-reserved platform (Elly) and will include slide presentations, audio-video aids or video-recording of the lectures.
Assessment methods and criteria
The verification of the achievement of module objectives is a written, consisting of a multiple response test about theory and outputs of statistical software/short exercises. In this way, it is possible to assess the student’s knowledge and understanding of both theory and practice principles and their application in medical and biological field using current examples. The grade, in 30/30, will weight on the basis on the number of credits of the module respect to the total number of credits of the integrate course.
Other information
None.
