MEDICAL STATISTICS WITH FOUNDATIONS OF MATH
STATISTICA MEDICA CON ELEMENTI DI MATEMATICA
|Lecturer||Office hours for students|
|Davide Sisti||Friday from 9am to 11am (or another day) by appointment|
|Teaching in foreign languages|
Course with optional materials in a foreign language
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|
|Date||Time||Classroom / Location|
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.
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 regression and correlation
2. Inferential Statistics
2.1 General principles
2.2 Statistical distributions: Binomial, 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 aspects in the research protocol of Phase I, II, III, IV.
3.2 Experimental design (between patients, within patients, factorial)
3.3 Randomization techniques
3.4 Sample size
3.5 Efficiency indices
1.1 General priciples
1.5 Function study
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 .
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
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
- Villani V, Gentili G. Matematica, Ed.McGraw Hill, Milano
- Rocchi M.B.L., Istituzioni di Matematica attraverso gli esercizi, Ed. Goliardiche, Trieste
Written test, relative to the part of mathematics and subsequent oral examination, relative to the part of statistics.
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
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