# MEDICAL STATISTICS cod. 03848

2° year of course - First semester
Professor
- Sara TAGLIAFERRI
Statistica medica (MED/01)
Field
Scienze propedeutiche
Type of training activity
Basic
10 hours
of face-to-face activities
1 credits
hub:
course unit
in

Integrated course unit module: RESEARCH METHODOLOGY

## Learning objectives

After the course students should be able:
- to understand the nature of a variable by assessing its distribution;
- to perform simple tests of inferential and descriptive statistics by using freeware software;
- to read a basic biomedical scientific article, understanding its structure;
- to manage a simple database, particularly in the field of laboratory medicine.

## Prerequisites

Knowledge of basic mathematics, basic knowledge of English.

## Course unit content

Definition of statistics. The types of biostatistical studies. Descriptive statistics: qualitative and quantitative variables. Measures of central tendency, dispersion, symmetry for quantitative variables. Arithmetic mean, median, mode. The normal and non-normal distribution. Skewness and Kurtosis. Kolmogorov-Smirnov’s e Shapiro-Wilk’s tests. Elements about binomial distributions. Parametric and Non-Parametric 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. Introduction to non-parametric test, the rank. The frequency for categorical/qualitative variables. The 2*2 contingency tables. Chi-square test for independent data.

To see Contents.

## Bibliography

The slides of lectures (uploaded on Elly after 2/3 of the course) are the reference 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;
- 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. Each theory argument with mathematical formulae will be explained through simple and practical examples, in order to allow students focusing on basic concepts more than the formulae themselves. Furthermore, the use of opensource software in the information processing module 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, to develop student’s independence in reading international scientific literature, especially in the field of biomedical laboratory.
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.

## Assessment methods and criteria

The verification of the achievement of module objectives is a written test, mainly consisting of questions about the arguments treated during the lessons. It will include multiple choice questions and exercises. Student’s knowledge and understanding of both theory and practice principles and their application in medical and biological fields will be evaluated. The grade will be in 30/30 and its weight will be based on the credits of this module respect to those of the integrate course.

None.