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STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH Course Sheet Academic Year of enrolment:
Disciplinary Sector:
Statistics for Experimental and Technological Research
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
The proposed program will also allow students who have not previously matured
Objectives Contents The course aims to provide the basic knowledge of research in the biomedical field
Extended Syllabus • Evaluation of diagnostic tests. Sensitivity definitions (SE), specificity (SP), positive predictive values (VPP), and negative (VPN).
Recommended Bibliography • Copy of the slides used during the lessons and bibliographic material available on-line
Teaching Methods The teaching is structured in 20 hours of frontal didactics, each lesson will be divided into two parts. A first part in which will be presented the topic of the lesson and in a second part in which will be proposed by the teacher of the exercises that allow to verify the practical application of the topics treated in a theoretical way.
Evaluation methods Verification of learning:
The verification of the preparation of the students will be done by written examination composed of multiple answer questions and/or exercises that allow to verify the practical application of the subjects covered. The total points (30) will be divided on the basis of the questions present on the task and reported on the text in relation to each individual test question. There is no oral test.
Contacts/More Information Students will be received by the teacher by appointment to be agreed by e-mail to the address marta.dinicola@unich.it
