MEDICAL STATISTICS
Stampa
Enrollment year
2016/2017
Academic year
2016/2017
Regulations
DM270
Academic discipline
MED/01 (MEDICAL STATISTICS)
Department
DEPARTMENT OF CLINICAL-SURGICAL, DIAGNOSTIC AND PEDIATRIC SCIENCES
Course
PHYSIOTHERAPY
Curriculum
PERCORSO COMUNE
Year of study
Period
(03/10/2016 - 27/01/2017)
ECTS
2
Lesson hours
16 lesson hours
Language
ITALIAN
Activity type
ORAL TEST
Teacher
VILLANI SIMONA (titolare) - 2 ECTS
Prerequisites
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Learning outcomes
The course gives methodological base for planning researches in clinical area and tools for the description and interpretation of data.
Course contents
Introduction to Statistic and research planning
Variability and chance.
Research Protocol.

Population, sample and sampling methods:
- non-probabilistic and probabilistic methods (simple random sampling; stratified random sampling; cluster sampling; multiple-stage sampling).
- Sample size.
- Experimental study design vs. Observational study.

Data organization: database and dataset.

Tools for descriptive analysis and interpretation of data
- Description of statistical unit and type of variables. Frequency distribution for qualitative and quantitative variables. Graphics.
- Descriptive statistics:
o mean, median, mode, centiles,
o range variance, standard deviation, coefficient of variation
o skewness and kurtosis
- Normal distribution
- Correlation coefficient (mention)
Teaching methods
The plan of the course is based on academic frontal lectures and practical section (problem solving approach).
Reccomended or required readings
Lantieri, Risso, Ravera. Elementi di Statistica Medica. Mcgraw-hill.
Assessment methods
Written test. 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
Written test. 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