75199 - Statistics for the Experimental Research and Technology

Learning outcomes

At the end of the course, the student will be able to use the tools to identify a problem, to effect a literature revision on the subject, to critically analyse the problem and the current knowledges.

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.

Norman G.R., Streiner D.L. Biostatistics: The Bare Essentials, 3rd edition

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

Teaching methods

Classical lectures

Demonstration of statistical analysis and graphs and table creation with SPSS 21.0

Interpretation of the obtained outputs

Assessment methods

Multiple answer quiz

Office hours

See the website of Arrigo Francesco Giuseppe Cicero