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Course Sheet Academic Year of enrolment:
Degree:
Course of 1st Cycle Degree in NURSING
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
The proposed program will also allow students who have not previously matured
Disciplinary knowledge to achieve the training objectives indicated. There are therefore no prerequisites, but we recommend a knowledge of the notions of mathematics present in all high school programs.
Objectives
Contents The course is designed for providing methodological bases for planning researches in clinical area and tools for the description and interpretation of data.
Extended Syllabus Research Protocol
- Population, sample and sampling methods (simple random sampling; stratified random sampling; cluster sampling).
- 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
Normal distribution probability
- Pearson’s correlation coefficient
Inferential statistics
- Test of hypothesis
- Parametric unpaired t-test
- Chi-squared test
Diagnostic test sensitivity and specificity analysis
Recommended Bibliography 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
Note: any other biostatistics or medical statistics manual may be used.
Teaching Methods
Evaluation methods Verification of learning:
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