Enrollment year
2020/2021
Academic discipline
MED/01 (MEDICAL STATISTICS)
Department
DEPARTMENT OF PUBLIC HEALTH, NEUROSCIENCE, EXPERIMENTAL AND FORENSIC MEDICINE
Course
OCCUPATIONAL THERAPY
Curriculum
PERCORSO COMUNE
Period
1st semester (05/10/2020 - 22/01/2021)
Lesson hours
16 lesson hours
Activity type
WRITTEN TEST
Learning outcomes
The course gives the methodological background for planning researches in clinical area and tools for the description and interpretation of data.
Students will learn how to choose the statistical tools, based on the type of variables selected. Moreover, stidents will learn how to interpret descriptive results and association between variables.
Course contents
Introduction to Statistic and research planning
Research Protocol
- Population, sample and sampling methods (simple random sampling; stratified random sampling; cluster sampling). Introduction to sample size
- Data organisation: 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: mean, median, mode, centiles, range variance, standard deviation, coefficient of
Variation
- Skewness and Kurtosis
- Normal distribution
- Pearson’s correlation coefficient
Teaching methods
The plan of the course is based on academic lectures and practical sections (problem solving approach)
Reccomended or required readings
Lantieri, Risso, Ravera. STATISTICA MEDICA, McGrawHill, 2007 (revisione e adattamento di Lama e Signoriello per la Laurea in Infermieristica)
Triola, Triola. Fondamenti di Statistica per le discipline biomediche. Pearson, 2017
Assessment methods
Examination with practical exercises and closed 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.
Further information
Examination with practical exercises and closed 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.
Sustainable development goals - Agenda 2030
Università di Pavia - Offerta formativa