Bachelor's degree in Dental Hygiene (Verona)

Methodology for evidence-based practice (2016/2017)

Course code
4S000290
Credits
4
Coordinator
Giuseppe Verlato

Teaching is organised as follows:
Unit Credits Academic sector Period Academic staff
STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA 2 MED/01-MEDICAL STATISTICS CLID VR LEZ 3A 1S Giuseppe Verlato
SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI 2 ING-INF/05-INFORMATION PROCESSING SYSTEMS CLID VR LEZ 3A 1S Paolo Zuliani

Learning outcomes

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
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The course is aimed at enabling the student to: - estimate accuracy and precision of measurements performed in the biomedical field; - properly synthetize and summarize the information collected on a series of patients; - compute the probability of a single event or several events - generalize findings from samples to the original population
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MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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This course aims to explain general concepts about how to code human readable informations in binary code. It also presents main concepts of information processing systems.

Syllabus

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
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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 rejecton regions; type I and type II error; power of a statistical test – Comparing a sample mean to a population mean: z-test and t-test – Comparing the means of two independent or dependent samples: unpaired or paired t-test – Comparing proportions from two independent samples: chi-square test – Correlation and regression
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MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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How to code informations: numbers, text, images and sound. Computer architecture, memory types and processors. Purpose and evolution of operating systems and data management.

Assessment methods and criteria

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
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The written examination will consists of about 25 multiple choice questions with 5-8 possible answers, and one exercise of Statistical Inference on a simple data set. Wrong answers to the written examination will be orally discussed with the student.
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MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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Written test.

Reference books
Author Title Publisher Year ISBN Note
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
Swinscow TDV, Campbell MJ Le basi della Statistica per scienze bio-mediche Edizioni Minerva Medica S.p.A., Torino 2004
Lantieri PB, Risso D, Ravera G Statistica medica per le professioni sanitarie (Edizione 2) McGraw-Hill, Milano 2004
Fowler J, Jarvis P, Chevannes M Statistica per le Professioni Sanitarie EdiSES srl, Napoli 2006




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