## MEDICAL STATISTICS WITH FOUNDATIONS OF MATH STATISTICA MEDICA CON ELEMENTI DI MATEMATICA

A.Y. Credits
2018/2019 6
Lecturer Email Office hours for students
Davide Sisti
Teaching in foreign languages
Course with optional materials in a foreign language English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language.

### Assigned to the Degree Course

Nutritional Sciences (L-29)
Curriculum: PERCORSO COMUNE
Date Time Classroom / Location
Date Time Classroom / Location

### Learning Objectives

The objective of this course is to allow a correct choice of statistical tools both in descriptive statistics and in inferential one, and to provide the bases of elementary mathematical methods, useful in biomedical applications.

### Program

1. Descriptive Statistics
1.1 Population, sample, sampling
1.2 Variables and their classification
1.3 Means (arithmetic mean, median, mode)
1.4 Indexes of variability (range, variance, standard deviation, coefficient of variation)

2. Inferential Statistics
2.1 General principles
2.2 Statistical distributions: Gaussian Normal, Standardized Gaussian Normal, Sample mean distribution, Student's t distribution
2.3 Significance Test: z-test, t-test
2.4 Confidence Intervals for means and proportions

3. Statistical topics in phase III Protocol
3.1 Protocols
3.2 Experimental design (between patients, within patients, factorial)
3.3 Randomization techniques
3.4 Sample size

Mathematics
1. Fuctions
1.1 General priciples
1.2 Range
1.3 Limits
1.4 Derivatives
1.5 Function study

2. Integration
2.1 Properties of the integers
2.2 Kinds of Integers

2.3 Integration methods

### Learning Achievements (Dublin Descriptors)

Knowledge and understanding: the student must know all the mathematical theory to be able to carry out the study of a function, as well as the notion of descriptive and inferential statistics with applications in the biomedical field.

Knowledge and comprehension skills applied: the student must be able to apply the mathematical rules to perform the study of a function, not to be able to perform statistical calculations of univariate samples.

Autonomy of judgment: the student must be able to independently assess the plausibility of the result of a calculation procedure, both mathematical and statistical.

Communication skills: the student must acquire a correct mathematical and statistical language.

Ability to learn: the student will be able to deepen specific arguments, not presented during the course, using the concepts learned .

### 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

### Teaching, Attendance, Course Books and Assessment

Course books

Statistic:
Rocchi M.B.L., Statistica e metodologia della ricerca per le discipline biomediche e psicocomportamentali, Ed. Goliardiche, Trieste.
Rocchi M.B.L., Esercizi svolti di statistica per le applicazioni biomediche, Ed. Goliardiche, Trieste

Math:
- Villani V, Gentili G. Matematica, Ed.McGraw Hill, Milano
- Rocchi M.B.L., Istituzioni di Matematica attraverso gli esercizi, Ed. Goliardiche, Trieste

Assessment

Written test, relative to the part of mathematics and subsequent oral examination, relative to the part of statistics.

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