Statistics and management

Module STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA

Method of teaching course:
Lectures, active participation of students through questions, preparation of a questionnaire for data collection and subsequent data collection and exercises.

VALUTATION: Writing and oral exam

1.Brief introduction to epistemology of knowledge
2.  Scientific use
3. Types of measurement scales: nominal, ordinal, interval and ratio scales
4. Representation of data in graphs and tables
5. Central indicators, variability indicators, asymmetry and kurtosis
6. Probability, sum and product principle
7. Probability application
8. Diagnostic tests: sensitivity, specificity, predictive values
9. Relative risk and odds ratio
10. Probability distributions: binomial, Poisson and normal
11. Standardized Gaussian curve
12. Inference: central limit theorem, sample distribution of the mean and standard error
13. Confidence interval for the mean and variance
14. Hypothesis test: null and alternative hypotheses
15. Significance tests between two groups: Student t test for dependent and independent groups
16. Contingency tables and chi square test
17. Brief description of linear correlation and regression
 

Lantieri, B.L., Risso D., Ravera G. (revisione Lama N., Signoriello G.) (2007). Elementi di Statistica Medica. Milano: McGraw-Hill.
Chiari, Mosci, Naldi, Evidence based clinical practice - La pratica clinico assistenziale basata su prove di efficacia - McGraw-Hill

Daniel W Biostatistica EdiSES Napoli 1996 pp 736