Master's degree in Nursing and Obstetrics (Bolzano)

Epidemiology, statistics and research - STATISTICA PER LA RICERCA SPERIMENTALE

Course code
4S007231
Name of lecturer
Simone Accordini
Number of ECTS credits allocated
3
Academic sector
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH
Language of instruction
Italian
Location
BOLZANO
Period
LMSIO BZ 1° ANNO 1° SEMESTRE dal Nov 12, 2018 al Jan 18, 2019.

To show the organization of the course that includes this module, follow this link * Course organization

Lesson timetable

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Learning outcomes

The course is aimed at providing the theoretical tools to assess the frequency of diseases in human populations and the associated risk factors, i.e. skills in epidemiology and biostatistics.
At the end of the course the student must demonstrate to have acquired knowledge and skills concerning the main designs of an observational epidemiological study and the statistical methods for the analysis of biomedical data, and to know how to interpret and communicate the results of an analysis in a clear and concise way.

Syllabus

DESCRIPTIVE STATISTICS
- The measurement process in medicine: measurement scales, validity, precision and accuracy
- Statistical variables and frequency distributions
- How to summarize the distribution of one or more variables: measures of location and dispersion, contingency tables

PROBABILITY THEORY
- Definitions of probability
- Rules of probability calculation
- Independent and conditional probabilities
- Random variables
- Gauss and Student's T distributions
- How to assess the validity of a diagnostic tool: sensitivity and specificity, ROC curves

INFERENTIAL STATISTICS
- An outline of sampling theory
- Sample distribution of an estimator
- Confidence interval
- The logic of the statistical test: null hypothesis and alternative hypothesis, type I and type II errors, power of a statistical test, p-value, z test and t test

PRINCIPLES OF OBSERVATIONAL EPIDEMIOLOGY:
- Definition and objectives of epidemiology
- Measures of disease frequency: prevalence, cumulative incidence, incidence rate
- Measures of association: attributable risk, relative risk, odds ratio
- Design and analysis of an observational epidemiological study: cross-sectional, case-control and cohort designs
- Effect modification
- Causal interpretation of an empirical association: random variability, systematic variability (selection bias and information bias), confounding

Reference books
Author Title Publisher Year ISBN Note
Pearce N A short Introduction to Epidemiology (Edizione 2) 2005 https://vula.uct.ac.za/access/content/group/9c29ba04-b1ee-49b9-8c85-9a468b556ce2/DOH/Module%202%20(Bio_Epi)/Epidemiology/EPIDEMIOLOGY/Pearce.pdf
Lantieri PB, Risso D, Ravera G Elementi di Statistica Medica McGraw-Hill 2007
Jekel JF, Katz DL, Elmore JG, Wild DMG Epidemiologia, Biostatistica e Medicina Preventiva Elsevier-Masson 2009
Hennekens CH, Buring JE Epidemiology in Medicine Lippincott Williams & Wilkins 1987
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
Rothman KJ, Greenland S, Lash TL Modern Epidemiology (Edizione 3) Lippincott Williams & Wilkins 2008
Glantz SA Statistica per Discipline Biomediche (Edizione 6) McGraw-Hill 2007 9788838639258

Assessment methods and criteria

The final test is a written exam with short answer questions and multiple choice questions.
The aim of the test is to verify the knowledge of all the topics discussed.
The final evaluation is expressed in thirtieths.

STUDENT MODULE EVALUATION - 2017/2018






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