Unit NURSING BASED ON EFFICACY TRIALS

BIOENGINEERING AND MEDICAL INFORMATICS

Code	50696901
CFU	1
Teacher	Emilia Nunzi
Teachers	Emilia Nunzi
Hours	15 ore - Emilia Nunzi
Learning activities	Altro
Area	Altre attività quali l'informatica, attività seminariali ecc.
Academic discipline	INF/01
Type of study-unit	Obbligatorio (Required)

EPIDEMIOLOGY

Code	50696902
CFU	2
Teacher	Chiara De Waure
Teachers	Chiara De Waure
Hours	30 ore - Chiara De Waure
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	MED/42
Type of study-unit	Obbligatorio (Required)

SCIENTIFIC EVIDENCES FOR NURSING

Code	50696801
CFU	1
Teacher	Chiara De Waure
Learning activities	Caratterizzante
Area	Scienze infermieristiche
Academic discipline	MED/45
Type of study-unit	Obbligatorio (Required)

Canale A

CFU

1

Teacher

Chiara De Waure

Canale B

CFU

1

Teacher

Chiara De Waure

HEALTH STATISTICS

Code	50696701
CFU	1
Teacher	Fabrizio Stracci
Teachers	Fabrizio Stracci
Hours	15 ore - Fabrizio Stracci
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	MED/01
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	The basis of scientific investigation The role of statistic methods in biomedical research Descriptive statistics Inferential statistics The linear regression model to analyze relationships between variables
Reference texts	Primer of biostatistics by Stanton A. Glantz or Principles of Biostatistics by Marcello Pagano, Kimberlee Gauvreau
Educational objectives	Basic data analysis Understanding of the role of statistics in medicine Critical reading of methods and results in published biomedical research
Prerequisites
Teaching methods	Frontal Lessons Hands on exercises
Other information
Learning verification modality	Multiple choice test based on 30 items (18 exact answers required to pass, no course-specific minimum result required). Trial time: 35 minutes. Software platform used: Libreol. Course-specific items will explore knowledge of common statistics, the concept of statistical testing and regression models, competence in the application of simple statistical techniques and critical reading of methods applied in epidemiologic and clinical research. The final score is the sum of correctly answered items.
Extended program	1. Introduction 1.1 Statistics definitions and scope 1.2 Statistical methods in medical research 2. Data 2.1 Types of variables 2.2 Tabulation and processing of data 2.3 Diagrams 2.4 Descriptive statistics 2.5 Measures of central tendency 2.6 Measures of variability 3. Probability 3.1 Frequentist definition of probability 3.2 Probability distributions 3.3 The normal or Gaussian distribution 3.4 Probability distributions and applications 4. Populations and samples 4.1 Parameters and their estimation 4.2 Sampling 5. Statistical inference 5.1 Point and interval estimation 5.2 Confidence interval for the sample mean 5.3 Significance testing 5.4 Parametric Hypothesis Tests: Student’s t test and Analysis of Variance 5.5 Confidence interval for the difference between two means 5.6 Non-Parametric Hypothesis Tests: chi-squared test 6. Regression and correlation 6.1 Regression models 6.2 Linear regression 6.2.1 Linear regression equation: parameters estimation using the ordinary least squares method 6.2.2 Tests of significance in regression 6.2.3 Confidence interval for the linear regression coefficient b 6.3 Correlation coefficient
Obiettivi Agenda 2030 per lo sviluppo sostenibile