STATISTIC LAB
Stampa
Enrollment year
2019/2020
Academic year
2019/2020
Regulations
DM270
Academic discipline
SECS-S/02 (STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH)
Department
DEPARTMENT OF BIOLOGY AND BIOTECHNOLOGY "LAZZARO SPALLANZANI"
Course
EXPERIMENTAL AND APPLIED BIOLOGY
Curriculum
Bioanalisi
Year of study
Period
1st semester (01/10/2019 - 14/01/2020)
ECTS
6
Lesson hours
72 lesson hours
Language
Italian
Activity type
WRITTEN TEST
Teacher
GENTILINI DAVIDE (titolare) - 5 ECTS
FAZIA TERESA - 1 ECTS
Prerequisites
Learning outcomes
The course is organized in lectures and computer exercises.
The main objective of the course is to provide the theoretical skills and operational skills needed to manage and analyze data in the biological and biomedical field.

The course aims to introduce students to the use of the open source R software for the management, analysis and graphical representation of the data. R is the most versatile statistical data analysis program used in science.
Course contents
1- ANALYSIS OF TYPES OF STUDY, DESIGN OF THE STUDY AND DATA COLLECTION
a. CLASSIFICATION OF BIOMEDICAL STUDIES
b. DEFINITIONS
c. SAMPLING METHODS

2- INTRODUCTION TO THE R ENVIRONMENT FOR DATA ANALYSIS
a. THE PROGRAMMING ENVIRONMENT IN R GENERAL
b. THE MAIN OBJECTS OF THE ENVIRONMENT R

3- ANALYSIS OF RAW DATA, TABULATION OF DATA AND STATISTICAL INDICATORS
a. PHASES OF STATISTICAL SURVEY
b. FREQUENCY STATISTICAL TABLES
c. THE STATISTICAL INDICATORS
d. STATISTICAL SERIES
e. CONCENTRATION MEASURES

4- DATA GRAPHIC REPRESENTATION
a. DATA GRAPHIC DESCRIPTION AND ANALYSIS WITH R

5- STATISTICAL TESTS PARAMETRIC AND NOT HOW AND WHEN TO USE IT AND INFERENCE
a. BIVARIATE ANALYSIS
b. THE NORMAL DISTRIBUTION
c. STATISTICAL TESTS
d. STATISTICAL TESTS IN R PRACTICAL EXERCISES

6- THE STATISTICS AND THE BIOLOGY LABORATORY
a. REGRESSION
b. SCREENING SENSITIVITY AND SPECIFICITY OF A DIAGNOSTIC TEST, CURVE ROC AND BAYES THEOREM
c. PRINCIPLES OF STATISTICS APPLIED TO GENETICS
Teaching methods
Lectures and practical exercises on the computer
Reccomended or required readings
Bland M. Statistica Medica, Ed. Apogeo 2009
Whitlock M.C., Schluter D. Analisi statistica per dati biologici, Ed. Zanichelli 2010
Villani S., Borrelli P. “Excel & Statistica Medica“, Ed. Medea, 2013
La metodologia statistica nelle applicazioni biomediche , Rossi C., Serio G., Sprinter, Berlino, 1990.
Assessment methods
The exam will be performed on the computer and will consist of a series of exercises for the part of analysis and visualization of the data and a series of multiple choice questions related to the theoretical part.
Further information
Sustainable development goals - Agenda 2030