2019/2020

2020/2021

DM270

MED/01 (MEDICAL STATISTICS)

DEPARTMENT OF INTERNAL MEDICINE AND THERAPEUTICS

MEDICINE AND SURGERY

PERCORSO COMUNE

2°

2nd semester (01/03/2021 - 15/06/2021)

5

40 lesson hours

Italian

WRITTEN TEST

GRASSI MARIO (titolare) - 5 ECTS

High school basic concepts of mathematics and probability

Provide students with quantitative methodological knowledge to understand, interpret and evaluate the scientific evidence extracted from empirical observation in medicine. Specifically, this course aims to support the training of the student (from statistical inference, to the definition of multivariate statistical models) with numerous practical applications on experimental and observational studies. Objectives of the course are: 1) to provide the main methodological and computer tools (with the use of statistical language R) useful for a greater understanding of the discipline; 2) analyze and interpret biomedical data in order to critically appreciate therapies, both innovative and usual, identify risk factors or protection from diseases; 3) know the aspects related to the design of studies and the determination of the sample size, putting the student able to critically read the medical literature; 4) examine and critically interpret the relationship between a primary outcome ("endpoint") and a set of predictors in an experimental clinical trial using appropriate statistical models; 5) evaluate the presence of confounding, mediation and modification factors by trivarate statistical models.

1. Design and classification of clinical trials
2. Randomization, minimization, blindness
3 Frequency distributions
4 Graphic representations
5 Position/variability measurements
6 Occurrence/effect measures
7 Introduction to R
8 Statistical inference
9 Significance tests
10 Confidence interval
11 Study size (sample size)
12 Linear model (Gauss)
13 Logistic model (Bernoulli)
14 Survival analysis (Cox model)
15 Trivariate models (background, interaction, mediation)

Frontal teaching + interactive teaching. Interactive teaching concerns topics in succession with the frontal teaching activity

Educational material downloadable on the site: https://labstat.wixsite.com/grassi/

The exam consists of a written test with binary response test (True/False)

NA