Studying at the University of Verona
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale a ciclo unico in Odontoiatria e protesi dentaria - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2019/2020
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3° Year activated in the A.Y. 2020/2021
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4° Year activated in the A.Y. 2021/2022
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5° Year activated in the A.Y. 2022/2023
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6° Year activated in the A.Y. 2023/2024
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Behavioural Sciences and Scientific Methodology - STATISTICA MEDICA (2018/2019)
Teaching code
4S02633
Teacher
Credits
4
Language
Italian
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
LEZIONI 1° SEMESTRE 2°-3°-4°-5°-6° ANNO dal Oct 1, 2018 al Dec 21, 2018.
Learning outcomes
The course aims to introduce the basic theoretical tools of Quantitative Medicine. The course points to prepare students to:
- describe, interpret and communicate appropriately the information gathered on a collective of patients (or other experimental units);
- assess the reliability of the measurements in the biomedical field, in terms of sensitivity, specificity, accuracy and precision;
- generalize the observations collected on a limited number of subjects to the population of origin using elementary inferential techniques
- read critically the articles of the biomedical area
Program
Introduction: The purpose of the statistics in medicine.
Descriptive statistics
1) The measurement process and the different types of measurement scales
2) The statistical variables and their representation by means of frequency distributions: tables with one or two variables.
3) Graphical representation of a frequency distribution
4) Measures of position (mean, median, mode, percentiles, weighted average)
5) Measures of dispersion (range, interquartile deviation, deviation, variance, standard deviation, coefficient of variation)
Probability
1) Definitions of probability: classical, frequentist, subjectivist
2) The rules of calculation of probability: addition and product rule
3) Independent and conditional probability
4) The sensitivity and specificity of a diagnostic tool
5) ROC curves
6) Bayes theorem and its applications to differential diagnosis
7) Random variables
8) Normal Distribution
9) Population and sample. Introduction to the sampling theory
10) The sampling distribution of an estimator (sample mean)
Inferential Statistics
1) Point and interval estimates: confidence interval
2) The logic of hypothesis testing: the null and the alternative hypothesis; first and second type error; the power of a test
3) Comparison of a sample mean with a population mean: z-test and t-test
4) Comparison of two sample means: t-test for unpaired data and for paired data
5) Chi-square test
6) Correlation and regression
Author | Title | Publishing house | Year | ISBN | Notes |
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Daniel WW, Cross CL | Biostatistica (Edizione 3) | Edises | 2019 | ||
Verlato G, Zanolin ME | Esercizi di Statistica Medica, Informatica ed Epidemiologia | Libreria Cortina Editrice, Verona | 2000 |
Examination Methods
The exam is written and consists of multiple choice tests and exercises. The answers provided in the examination will be discussed with the student.