MEDICAL STATISTICS
- Overview
- Assessment methods
- Learning objectives
- Contents
- Bibliography
- Teaching methods
- Contacts/Info
None
In-class test, with multiple choices questions and exercises. The exam will be organized so as to verify both the knowledge and the learning ability of the students (60%), and their ability to apply the knowledge in practical exercises (40%).
The main aim of the course is to illustrate the basic elements of statistics needed to critically read and correctly interpret the results of a quantitative medical research.
Descriptive and inferential statistics are framed into the scientific knowledge process and the concept of "evidence-based medicine".
Scientific knowledge, inference and "evidence-based medicine" (2 hours). Descriptive statistics: frequency distribution, indices of location, symmetry and variability (6 hours). Probability: definition, proprieties, and application. Bayes’s theorem and diagnostic test accuracy. (4 hours). Binomial and normal distributions (2 hours). Inference: population and sample (2 hours). Central Limit Theorem, distribution of the sample mean. Hypothesis test and confidence interval for a population mean. Hypothesis test for 2 or more population means (6 ore). Reading of a paper from the scientific literature in the medical field (2 hours).
Stanton A. Glantz
Statistica per discipline biomediche. Sesta Edizione.
McGraw-Hill
Lectures and homeworks
Lesson notes available on the e-learning website. Reception of students by appointment, please contact the teacher at: giovanni.veronesi@uninsubria.it