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75199 - Statistics for the Experimental Research and Technology

Academic Year 2023/2024

                
                        Docente:
                        Arrigo Francesco Giuseppe Cicero
                    
                        Credits:
                        2
                    
                        SSD:
                        SECS-S/02
                    
                        Language:
                        Italian
                    
                        Teaching Mode:
                        Traditional lectures
                        
                            Campus:
                            Bologna
                        
                            Corso:
                            Second cycle degree programme (LM) in
                            Nursing and Midwifery Sciences (cod. 8488)

                            Teaching resources on Virtuale
                        
                                    Course Timetable
                                
from Oct 11, 2023 to Nov 20, 2023

Learning outcomes

At the end of the course the student will be able to understand the usefulness of the application of correct statistical tools for a research plan, to recognize the correct statistical tests to be used in the main research contexts and to correctly interpret statistical data reported in the scientific literature related to nurses and obstetric sciences.

Course contents

· Definition of statistics and its aims

· Definition of variables and of distribution

· How to do graphs and how to interpret them

· Basic descriptive statistics

· Inferential statistics: the comparison tests (ANOVA, ANCOVA, t-test, Non parametric tests)

· Correlation statistics: bivariate analysis, univariate regression analysis, multivariate regression analysis

· Association statistics: logistic regression

· Prediction statistics: Cox-analysis, Survival analysis, Curves of Kaplan-Meyer

· Diagnostics: sensibility and specificity, ROC curves

· Systematic reviews and Meta-analysis: definitions, data interpretation

The main statistical tests will be shown pratically as output of the SPSS 21.0 statistical software

Readings/Bibliography

Ripoli A. Statistica medica facile. Alice nel paese del p-value. Il Pensiero Scientifico Editore, 2009.

Norman G.R., Streiner D.L. Biostatistics: The Bare Essentials, 3a edizione

Ann Weaver, Stephen Goldberg. Clinical biostatistics and epidemiology made ridiculously simple. MedMaster Inc., Miami, USA, 2012

Teaching methods

Frontal lessons.

Excercises on statistical reports

Assessment methods

Discussion of a statistical plan proposed in the context of a research protocol. The exam will be passed with a minimal note of 18/30.

The aim of the exam is to verify the ability of the student to apply what learned beyond memory schemes. The final note will be proportional to skills and ability of the student related to the arguments discussed during the frontal lessons and during the exercitations.

Office hours

See the website of Arrigo Francesco Giuseppe Cicero