Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The 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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Professional Laboratories (1st year)
2° Year activated in the A.Y. 2021/2022
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Professional Laboratories (2nd year)
3° Year activated in the A.Y. 2022/2023
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Professional Laboratories (3rd year)
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Professional Laboratories (1st year)
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Professional Laboratories (2nd year)
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Professional Laboratories (3rd year)
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.
Evidence based nursing - Health statistics and clinical epidemiology (2022/2023)
Teaching code
4S000084
Teacher
Credits
2
Language
Italian
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
1 SEMESTRE PROFESSIONI SANITARIE dal Oct 3, 2022 al Dec 23, 2022.
Program
INTRODUCTION
The role of Statistics in Health Professions.
DESCRIPTIVE STATISTICS
Different measurement scales – Statistical variables and their presentation through frequency distributions: one-entry or double-entry tables – Measures of central tendency: mean (arithmetic, geometric, weighted), median, mode, percentiles – Measures of dispersion: range, interquartile range, sum of squares, variance (mean square), standard deviation, variation coefficient.
PROBABILITY
Classic, frequentist, subjective interpretations of probability – Sum and product rules of probability – Independent and dependent events and conditional probability – Sensitivity, specificity, positive and negative predictive value of a diagnostic test – ROC curves – Bayes theorem and its application to differential diagnosis – Random variables – Theoretical probability distributions: normal distribution.
SAMPLING
Populations and samples - Common sampling designs – Sampling distribution of an estimator (sample mean).
STATISTICAL INFERENCE
Point and interval estimates: confidence interval – Logical structure of hypothesis testing: null and alternative hypotheses; acceptance and rejection regions; type I and type II error; power of a statistical test – Choice of statistical test.
EPIDEMIOLOGY
Measures of disease frequency: prevalence, incidence – Measures of association: risk difference, relative risk, etiologic fraction, odds ratio – Study design: cross-sectional, cohort and case-control studies.
Bibliography
Didactic methods
The course will consist of frontal lessons in classroom and exercise on nursing problems. It is mandatory to attend at least 75% of the lessons. Students with a certified illness will be enabled to attend remotely by the zoom platform.
Learning assessment procedures
The written examination will consist of about 30 multiple choice questions with 5-8 possible answers, and one exercise of Statistical Inference on a simple data set. Some statistical questions will deal with an article dealing with Nursing, chosen by the teacher of Nursing. Wrong answers to the written examination will be orally discussed with the student.
If a new lockdown phase will be enacted, the exam modality will be modified accordingly, i.e. exams will be performed in rooms large enough to guarantee social separation, or exams will be administered using the web-platform Zoom.
Evaluation criteria
The exam will evaluate not only the acquisition of statistical knowledge, but also the ability to adopt it critically to solve health problems. One point will be awarded for each correct answer, and zero points for incorrect or missing answers.
Exam language
Italiano