Enrollment year
2016/2017
Academic discipline
MED/01 (MEDICAL STATISTICS)
Department
DEPARTMENT OF MOLECULAR MEDICINE
Course
BIOMEDICAL LABORATORY TECHNIQUES
Curriculum
PERCORSO COMUNE
Period
(03/10/2016 - 13/01/2017)
Lesson hours
23 lesson hours
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: simple random sampling;
stratified random sampling; cluster sampling; multiple-stage sampling).
- Sample size.
- Experimental study design (Phase I, II, III) vs. Observational study (case report; case series;
ecological study; cross-sectional study; case-control study; cohort study).
Data organitation: 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.
- Correlation and short introduction to linear regression.
- Normal distribution.
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