## STATISTICS FOR BIOMEDICAL SCIENCES STATISTICA PER LE SCIENZE BIOMEDICHE

#### STATISTICS FOR BIOMEDICAL SCIENCES La ricerca biomedica: logica e metodi

A.Y. Credits
2015/2016 8
Lecturer Email Office hours for students
Marco Bruno Luigi Rocchi

### Assigned to the Degree Course

Date Time Classroom / Location

### Learning Objectives

The course aims to give students a methodological training and basic statistics,  not separated from the acquisition of an operational capability in the face of real problems

### Program

1. Outline of probability.  2. Population and sample.  3. Measuring scale variables.  4. Main indices of position (arithmetic mean, median and mode)  and dispersion (variation range, variance, standard deviation, coefficient of variation,  quartiles, interquartile range).  5. bivariate statistics: regression and correlation.  6. Main distributions: Binomial, Poisson, Gaussian.  7. The sampling distributions: distribution of the sample mean and t-distribution.  8. Test: the z test; the Student t test (for one and two samples).  9. Confidence intervals for the means and proportions.  10. Anova and nonparametric statistics  11. The scientific method and unscientific methods  12. The research protocol  13. The rationale  14. The literature search  15. Randomization  16. Blindness  17. Experimental design  18. Sample size  19. Assessment tools and their properties: reliability, validity, responsiveness, least significant difference, sensitivity and specificity  20. Deviations from the protocol and their treatment  21. Critical reading a scientific paper

### Learning Achievements (Dublin Descriptors)

In relation to statistics for biomedical sciences, students should show possession of:  - the mastery of basic skills;  - the understanding of the fundamental concepts of the discipline  - the ability to use knowledge and concepts to reason according to the logic of the discipline

### Teaching Material

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

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