STATISTICS FOR RESEARCH AND TECHNOLOGY
Stampa
Enrollment year
2016/2017
Academic year
2016/2017
Regulations
DM270
Academic discipline
SECS-S/02 (STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH)
Department
DEPARTMENT OF BRAIN AND BEHAVIORAL SCIENCES
Course
NEUROPHYSIOPATHOLOGY TECHNIQUES
Curriculum
PERCORSO COMUNE
Year of study
Period
(03/10/2016 - 13/01/2017)
ECTS
2
Lesson hours
23 lesson hours
Language
ITALIAN
Activity type
ORAL TEST
Teacher
VILLANI SIMONA (titolare) - 2 ECTS
Prerequisites
Medical statistics and Biometry course.
Learning outcomes
The course gives tools for bivariate analysis and interpretation of data in clinical area.
Course contents
Inferential statistics
- Test of hypothesis, type error I and II, p-value.
- General t-test.
- Parametric unpaired and paired t-test.
- Test on correlation coeeficient.
- Chi-squared test.
Use and interpretation of epidemiological measure (Odds Ratio, Relative Risk, Incidence Rate Ratio)
Teaching methods
The plan of the course is based on academic frontal lectures and practical section (problem solving approach).
Reccomended or required readings
- Lantieri P, Risso D, Ravera G. Statistica medica per le professioni sanitarie. McGraw-Hill.
- Daniel WW. Biostatistica. EdiSES.
- Glantz SA. Statistica per discipline bio-mediche. Ed. McGraw-Hill.
Assessment methods
Examination with open questions. Students must testify to learn the right application of statistical analyses further then to know the interpretation and communication of evidences from the analyses. Three close questions on theory aspects are also provided.
Further information
Examination with open questions. Students must testify to learn the right application of statistical analyses further then to know the interpretation and communication of evidences from the analyses. Three close questions on theory aspects are also provided.
Sustainable development goals - Agenda 2030