Biostatistics and Clinical Epidemiology (1 year)
A.Y. 2024/2025
Learning objectives
The course aims to contribute to the training of a doctor who knows the application of probability
calculations in general and clinical epidemiology and knows how to interpret the measures for evaluating
the validity of diagnostic tests.
calculations in general and clinical epidemiology and knows how to interpret the measures for evaluating
the validity of diagnostic tests.
Expected learning outcomes
The student must be able to apply the basic methods of probability calculus to solve practical problems.
In particular, the student will have to use theoretical probability distributions in the context of the
prevalence/incidence of diseases and the distribution of biological variables, correctly interpreting the
applications of probability calculations for the evaluation measures of diagnostic tests.
In particular, the student will have to use theoretical probability distributions in the context of the
prevalence/incidence of diseases and the distribution of biological variables, correctly interpreting the
applications of probability calculations for the evaluation measures of diagnostic tests.
Lesson period: Second semester
Assessment methods: Esame alla fine del gruppo
Assessment result: Inserire codice AF
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course syllabus
The role of statistics in biomedic fields
Elements of probability theory:
-uncertainty and random experiments
Sample space and events
-attribution of probability to events
- elementary properties of probability
- conditional, marginal and joint probability
-random variable
- Bayes theorem
Introduction to diagnostic tests:
-sensitivity and specificity
Predictive values
-application of Bayes theorem to diagnostic tests
Distributions of random variables:
-Bernoulli
- binomial
-Poisson
-Gaussian
-application of the distributions for the calculation of probability of simple and composite events
Elements of probability theory:
-uncertainty and random experiments
Sample space and events
-attribution of probability to events
- elementary properties of probability
- conditional, marginal and joint probability
-random variable
- Bayes theorem
Introduction to diagnostic tests:
-sensitivity and specificity
Predictive values
-application of Bayes theorem to diagnostic tests
Distributions of random variables:
-Bernoulli
- binomial
-Poisson
-Gaussian
-application of the distributions for the calculation of probability of simple and composite events
Prerequisites for admission
No prior knowledge is required
Teaching methods
Statistics and evidence in medicine
Frontal lessons: 16 hours
Innovative teaching lessons 8 hours
each lesson is supported by a screen presentation, made available as pdf file to the student on the ARIEL website.
During the hours of innovative teaching, applications of statistical techniques to clinical studies that are recognized as being of historical importance for the evaluation of therapeutic strategies and/or expansion of knowledge on environmental and genetic risk factors will be illustrated to the student. Students will be encouraged to discuss the impact of the results obtained from their studies.
A textbook is recommended only as a possible resource to support the concepts explained in class.
Frontal lessons: 16 hours
Innovative teaching lessons 8 hours
each lesson is supported by a screen presentation, made available as pdf file to the student on the ARIEL website.
During the hours of innovative teaching, applications of statistical techniques to clinical studies that are recognized as being of historical importance for the evaluation of therapeutic strategies and/or expansion of knowledge on environmental and genetic risk factors will be illustrated to the student. Students will be encouraged to discuss the impact of the results obtained from their studies.
A textbook is recommended only as a possible resource to support the concepts explained in class.
Teaching Resources
Titolo: Biostatistica
Autore: Marcello Pagano, Kimberlee Gauvreau
Edizione: Idelson-Gnocchi.
Autore: Marcello Pagano, Kimberlee Gauvreau
Edizione: Idelson-Gnocchi.
Assessment methods and Criteria
The exam will be written and composed of 15 questions (total score 30). It is carried out via the exam.net platform. The use of a calculator is permitted. The outcome of the test will be communicated by publishing the results on the Course's ARIEL website
MED/01 - MEDICAL STATISTICS - University credits: 2
Lessons: 16 hours
: 8 hours
: 8 hours
Professors:
Biganzoli Elia, Boracchi Patrizia
Shifts:
Professor(s)
Reception:
On appointment (email)