Teaching code

4S01896

Credits

8

Coordinatore

Maria Elisabetta Zanolin

Language

Italian

Moodle Seminars

The teaching is organized as follows:

Program

------------------------
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
------------------------

Bibliography

Examination Methods

------------------------
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
------------------------