- Docente: Andrea Turolla
- Credits: 2
- SSD: SECS-S/02
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Physiotherapy (cod. 8476)
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from Mar 07, 2025 to Mar 21, 2025
Learning outcomes
At the end of the course the student will be able to understandthe usefulness of the application of correct statistical tools fora 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 physiotherapy.
Course contents
- Definition of statistics and its aims
- Definition of variables and distribution
- How to do and interpret graphs
- 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 practically, as output of the STATA SE and RevMan 5 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
- In presence lectures
- Practice on statistical analysis, graphs and tables with STATA SE
- Output interpretation
Assessment methods
- Multiple choices examination
Teaching tools
Office hours
See the website of Andrea Turolla
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.