Master's degree in Rehabilitation Science in Healthcare Professions

Epidemiology and statistics (2020/2021)

Course code
4S01896
Credits
8
Coordinator
Maria Elisabetta Zanolin

Teaching is organised as follows:
Unit Credits Academic sector Period Academic staff
STATISTICA PER LA RICERCA SPERIMENTALE 2 SECS-S/02-STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH LMSRPS - 1° ANNO 1° SEM. Giuseppe Verlato
METODOLOGIA DELLA RICERCA SOCIALE 2 SECS-S/05-SOCIAL STATISTICS LMSRPS - 1° ANNO 1° SEM. Michele Bertani
STATISTICA MEDICA ED EPIDEMIOLOGIA 2 MED/01-MEDICAL STATISTICS LMSRPS - 1° ANNO 1° SEM. Maria Elisabetta Zanolin
SISTEMI DI GESTIONE INFORMATIZZATA DEI DATI NELLE ORGANIZZAZIONI 2 ING-INF/05-INFORMATION PROCESSING SYSTEMS LMSRPS - 1° ANNO 1° SEM. Davide Adamoli

Syllabus

------------------------
MM: STATISTICA PER LA RICERCA SPERIMENTALE
------------------------
INTRODUCTION TO EPIDEMIOLOGY Definition of Epidemiology: epidemiology as the science of prevention. Epidemiologic transition during the XX century. Outcome, parameter of occurrence, determinant, occurrence relation MEASURES OF DISEASE FREQUENCY The disease as a status or an event: prevalence and incidence Cumulative incidence and incidence rate Relation between incidence, duration and prevalence MEASURES OF ASSOCIATION Risk Difference, Relative Risk, Etiologic fraction, Odds Ratio STANDARDIZATION Direct and indirect standardization CAUSAL RELATIONSHIP IN EPIDEMIOLOGY Deterministic and probabilistic approach to cause-effect relationship. Hill’s causal criteria, Rothman’s “causal pie model”. Confounder and effect modifier. MAIN ERRORS IN EPIDEMIOLOGIC STUDIES Random error Systematic error: information, selection and confounding bias. MAIN TYPES OF EPIDEMIOLOGIC STUDIES Cross-sectional study Cohort study Case-control study Ecological study Controlled clinical trials
------------------------
MM: METODOLOGIA DELLA RICERCA SOCIALE
------------------------
- Sociology and social research – basic concepts: methodology, techniques, paradigm - The basic paradigms of social research - Quantitative research and qualitative research - Data collection: quantitative techniques o Sample Inquiry o The stair technique o Official statistical sources o Sampling - Data collection: qualitative techniques o Participant observation o The qualitative interview o Focus group - Mixed methods research in the socio-health field
------------------------
MM: STATISTICA MEDICA ED EPIDEMIOLOGIA
------------------------
Probability distribution Normal distribution Standard normal distribution table for computing the area under the curve Inferential statistic Confidence intervals Confidence intervals with small samples: the t distribution Introduction to the hypothesis tests Hypothesis test of a single mean Paired sample t-test One-tailed and two-tailed hypothesis test Comparison of two means Type I and Type II errors, power of test Correlation: Pearson correlation coefficient. The regression analysis.
------------------------
MM: SISTEMI DI GESTIONE INFORMATIZZATA DEI DATI NELLE ORGANIZZAZIONI
------------------------

Assessment methods and criteria

------------------------
MM: STATISTICA PER LA RICERCA SPERIMENTALE
------------------------
The written examination will consist of about 25 multiple choice questions with 5-8 possible answers, and one exercise of Epidemiology on a simple data set. Wrong answers to the written examination will be orally discussed with the student.
------------------------
MM: METODOLOGIA DELLA RICERCA SOCIALE
------------------------
The exam test will take place in two parts and with two separate assessments: Part 1: Group work (critical analysis of empirical research in the socio-health field), programmed for the last lesson of the Course The practical exercise (group work) will allow a first socialization to empirical research. The tutorial presents itself as an added value, which helps to overcome the limits of a traditional course, so that knowledge is also embodied in experience (knowing vs. know-how; know versus know-how). The exercise is also useful in increasing useful skills for the future: job interviews and group trials, group coordination, exhibition skills, group work, etc. that are often required in large organisations; Part 2: Individual written test on the concepts and themes presented during the Course The final vote will be calculated as an average of the outcome of the first and second tests.
------------------------
MM: STATISTICA MEDICA ED EPIDEMIOLOGIA
------------------------
The final evaluation of the profit will be made through a written test with exercises; if this test is passed, then an oral interview will be carried out.
------------------------
MM: SISTEMI DI GESTIONE INFORMATIZZATA DEI DATI NELLE ORGANIZZAZIONI
------------------------

Reference books
Author Title Publisher Year ISBN Note
Daniel WW, Cross CL Biostatistica (Edizione 3) Edises 2019
Norman G, Streiner D Biostatistica: quello che avreste voluto sapere... (Edizione 2) Ambrosiana 2015
K.J. Rothman Epidemiologia Idelson-Gnocchi 2007
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
Jekel JF, Katz DL, Elmore JG, Wild DMG Epidemiologia, Biostatistica e Medicina Preventiva Elsevier-Masson 2009
PIERGIORGIO CORBETTA Metodologia e tecniche della ricerca sociale Il Mulino 2014 978-88-15-25213-5
Andrew, Sharon., and Elizabeth. Halcomb Mixed Methods Research for Nursing and the Health Sciences Wiley-Blackwell 2009 1-282-30604-9 Per studenti Univr: testo disponibile online su UNIVERSE https://univr.primo.exlibrisgroup.com/discovery/fulldisplay?docid=alma994227456605791&context=L&vid=39UVR_INST:39UVR_VU1&lang=it&search_scope=MyInst_and_CI&adaptor=Local%20Search%20Engine&tab=Everything&query=any,contains,Mixed%20Methods%20Research%20for%20Nursing%20and%20the%20Health%20Sciences&offset=0 ATTENZIONE: accesso fino al 30 novembre 2020: la copia scaricata sul proprio PC rimane senza limiti di tempo/scadenza
Swinscow TDV, Campbell MJ Le basi della Statistica per scienze bio-mediche Edizioni Minerva Medica S.p.A., Torino 2004


© 2002 - 2021  Verona University
Via dell'Artigliere 8, 37129 Verona  |  P. I.V.A. 01541040232  |  C. FISCALE 93009870234