Syllabus del corso
Obiettivi
Contenuti sintetici
Programma esteso
Prerequisiti
Modalità didattica
Lezioni frontali, esercitazioni
Materiale didattico
Periodo di erogazione dell'insegnamento
quarto anno, primo semestre
Modalità di verifica del profitto e valutazione
Orario di ricevimento
su richiesta tramire e-mail
Aims
Contents
Detailed program
- RANDOM VARIABLE AND PROBABILITY DISTRIBUTION
VARIABLES AND PROBABILITY DISTRIBUTIONS: definitions of probability; conditional probability and independence; probability distributions and random variables (examples of Gaussian and Binomial distribution; reference values
DIAGNOSTIC PROCESS EVALUATION: sensitivity, specificity; clinical decision: probability as uncertainty measure; predictive value of a test (Bayes theorem).
EVALUATION OF RESULTS IN A
CLINICAL STUDY:
population parameter, sample estimate and standard error;
confidence intervals; statistical hypothesis test, significant level and power;
application of a statistical test, p-value; sample size calculation; statistical
inference; comparison among groups and result interpretation; basic concepts of regression and correlation; different types of
studies in clinical and epidemiological research, observational and
experimental studies; efficacy measures (relative risk, odds ratio).
Prerequisites
propedeutical courses
Teaching form
Lectures and tutorials
Textbook and teaching resource
Semester
4th year - 1st semester
Assessment method
Written exam
Office hours
on request by e-mail
Scheda del corso
Staff
-
Paola Rebora
-
Maria Grazia Valsecchi