Module Details

Medical statistics

MS2068

Course
Medical statistics
Code
MS2068
Academic Year
2024/2025
Curriculum Year
2024/2025
Degree Programme
PROFESSIONAL EDUCATION
Curriculum
A001 - GENERICO
Course coordinator
Lecturers
Credits
2
Lecture Hours
16
Scientific Disciplinary Sector (SSD)
MED/01 - Medical Statistics
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
1
Teaching period
Primo Semestre
Campus
ALESSANDRIA
Teaching language
Italian
Course Contents
The course consists in a first part with topics related to descriptive statistics and in a second part that will concern the inferential statistics and the statistical hypothesis tests
Reference Texts
Triola MM, Triola MF. Fondamenti di Statistica per le discipline
biomediche, Pearson
Learning Outcomes
The course aims to: provide methodological issues related to descriptive and inferential statistics, select the appropriate statistical method to summarize study data, interpretation of the results
Prerequisites
Basic knowledge in mathematics
Teaching Methods
Lectures, Classroom exercises, Self-assessment test in Moodle-DIR
Additional Information
Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/services-students-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.
Assessment Methods
Written exam. The exam aims to verify knowledge and skills acquired by the students through the solution of exercises and open questions concerning the course programme
Detailed Syllabus
The frequency distribution
Measures of Central Tendency and dispersion
Properties of Probability
Probability distribution: the Binomial and normal distribution
Sampling distribution
Distribution of the sample mean
Confidence interval
Type I and type II error and the power of a test
Hypothesis testing: a single population mean
Expected Learning Outcomes
Knowledge and understanding: to go in depth of statistical methods for
the analysis of clinical data.
Ability to apply knowledge and understanding: translating theory into
practice by concretely working at the solutions to exercises.
Decision-making autonomy: acquiring autonomy in decision to conduct
the analysis of data obtained from surveys.
Communication skills: ability to communicate knowledge with clarity,
scientific and methodological rigour.
Learning skills: dealing with the information obtained from clinical studies
with the objective of collecting and organizing data and correctly
interpreting the information
Last update:09-09-2026 00:14:31