THREE-DIMENSIONAL MODELING

Course objectives

At the end of the course the student should know the main methods of descriptive and inferential statistics; He must be able to make a collection, processing and analysis of biomedical data: must be aware of the usefulness of the application of statistical methodology for understanding the bio-medical phenomena, will understand the role of statistical methodology in the context of experimental research, and will be able to consult scientific literature. Goals: the lessons are designed to provide the needed notions to understand the evolution of the medical science. In particular, the program aim to shed light on the relationship between medicine and society, stressing the development of the medical ethics in the history. That allows to shed light on the connection between the international reflections and regulations concerning the medical experimentation and practice after the Nuremberg Trial and the actual medical bioethics, by a comparison with the actual medicine and the modern concept of health and medical profession the health professions. Students will be introduced to explanations of human behaviour. The course aims to provide a brief introduction to some of the elements of Psychology that underpin our everyday lives, with a specific focus on topics relevant for Odontology. Students at the end of the course will be acquainted with the most interesting experiments within the field of psychology, and will be familiar with the implications of those studies for our understanding of the human mind and human behavior, specificially those relevant for Odontology.

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SIMONA IACOBELLI Lecturers' profile

Program - Frequency - Exams

Course program
Principles of frequentist Statistical Inference Introduction and tools (distributions and quantiles' tables). Illustration of repeated sampling: Central Limit Theorem for the Mean. Point Estimation. Confidence Intervals. Key elements and illustration of testing. Testing using Confidence Intervals. Introductions on Nonparametric tests. Applications of Inference Inference on the mean and the proportion. T-Test. Chi-Squared test. Sample size for inference on means. List of useful tests. Multi-Variable models Simple and Multiple Linear Model: interpretation and use. More insight in MLM. Interactions. Multi-Variable Models for studying events: Logistic / Poisson / Cox regression. Introduction to random effects models.
Prerequisites
To understand the content of the course it is sufficient to know basic mathematical elements (for example, proportion, the concept of function, first degree equations)
Books
• Bland M, Statistica Medica, Apogeo (English edition available) • Triola MM, Triola MF, Giraudo MT. Fondamenti di statistica per le discipline biomediche, Pearson
Frequency
Attendance is both mandatory and highly recommended.
Exam mode
The assessment consists of a written test with multiple choice questions (with 1 and only 1 correct option). The number of questions is approximately 10.
Lesson mode
Each topic of the course is preparatory to the following ones, therefore an active participation is recommended. The lessons alternate explanations and exercises useful for understanding the topic. In the last part of the course the exercises are intensified.
  • Academic year2025/2026
  • CourseDental School
  • CurriculumSingle curriculum
  • Year1st year
  • Semester2nd semester
  • SSDMED/01
  • CFU2