MEDICAL STATISTICS WITH FOUNDATIONS OF MATH
STATISTICA MEDICA CON ELEMENTI DI MATEMATICA
| A.Y. | Credits |
|---|---|
| 2016/2017 | 6 |
| Lecturer | 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
| Date | Time | Classroom / Location |
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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)
1.5 Correlation and regressions
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
3.5 Ad interim analyses
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)
In relation to Statistics and Mathematics, the student 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
| « back | Last update: 29/08/2016 |
