BIOSTATISTICS AND DATA ANALYSIS
cod. 1006661

Academic year 2016/17
3° year of course - Second semester
Professor
Academic discipline
Biologia applicata (BIO/13)
Field
A scelta dello studente
Type of training activity
Student's choice
42 hours
of face-to-face activities
6 credits
hub:
course unit
in - - -

Learning objectives

By the end of the course the student should have learnd about the basic principles of medical statistics and of epidemiology. The student will be able to use the main medical statistical indicators, to program sampling, to determine if a diagnostic test is accurate, and to describe relationships among variables.

Prerequisites

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Course unit content

Introduction to epidemiology.
Descriptive statistics.
Experimental design. Sampling.
Regression and correlation
Clinical and environmental epidemiology.
Evaluating the health status of a population, the effectiveness of a therapy. Diagnostic tests.
Use of principal statistical software’s.

Full programme

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Bibliography

R.Beaglehole, R. Bonita, T. Kjellström, Epidemiologia di base, Edizione italiana a cura di G. Agazzotti, Editoriale Fernando Folini, Casalnoceto, 1997.

M.L. Bacchi Reggiani, E. Baldi Cosseddu, A. Dormi. Principi di statistica ed epidemiologia, Società editrice Esculapio, 2010

Other textbooks
P.Armitage, G. Berr, Statistical methods in medical research, Blackwell

Teaching methods

Frontal lectures, practise exercises on the PC

Assessment methods and criteria

Assessment of the student’s achievements will first take place in the computer lab with few practical exercises, and secondly orally to test the knowledge of the program discussed in class.
With respect to the Dublin’s descriptors, it will be evaluated:
• knowledge and comprehension of the topics discussed in the classroom, considering also the use of text books
• the capacity to apply the acquired knowledge to case studies, where of critical importance will be the capacity to collect data, to interpret them, and to communicate them in a clear and critical way

Other information

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