Teaching code

4S02595

Credits

6

Coordinator

Not yet assigned

Language

Italian

Location

VERONA

Scientific Disciplinary Sector (SSD)

MED/01 - MEDICAL STATISTICS

Moodle Seminars 0

To show the organization of the course that includes this module, follow this link:  Course organization

The teaching is organized as follows:

Learning outcomes

------------------------
MM: Esercitazioni di Statistica Medica
------------------------
Students will use a spreadsheet (Excel) to compute simple statistics.
------------------------
MM: Lezioni di Statistica Medica
------------------------
OBJECTIVES The course is aimed at presenting basic principles of medical statistics, necessary to study groups of individuals by taking into account inter-individual variability. In particular, the medical student will learn to: 1. Create and interpret a frequency table, starting from individual data 2. Represent data pertaining to a biological phenomenon with adequate graphics 3. Compute percentiles (or other quantiles) of a biological variable 4. Esitmate the relative risk associated with an exposure 5. Estimate sensitivity, specificity, positive and negative predictive values of a diagnostic procedure 6. Compute confidence intervals for means and proportions 7. Perform a statistical test to evaluate significance of differences between two means or two proportions. 8. Estimate the relation between two quantitative variables by a linear regression model

Program

------------------------
MM: Esercitazioni di Statistica Medica
------------------------
Practical exercises dealing with the theoretical program will be performed.
------------------------
MM: Lezioni di Statistica Medica
------------------------
SYLLABUS The following topics will be addressed: 1. Measurements performed in biomedicine: precision, accuracy, repeatability and validity. 2. Basic statistical methods to describe, interpret and present quantitative information collected on groups of individuals or other statistical units. 3. Probability: definitions, basic rules to compute probabilities and expected events. 4. Evaluation of a screening procedure when a gold standard is available: sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratio. Intra-rater and inter-rater agreement. 5. Main probabilistic models, useful to approximate the distribution of a biological variables within a population (binomial and gaussian distributions). 6. Basic design in observational and experimental research: random sampling and randomization. 7. Main inferential methods: confidence intervals to estimate parameters, and hypothesis testing to base decisions on experimental/observational evidence. 8. Basic concepts of multivariable statistical analysis: multiple linear regression to study quantitative outcomes, logistic model to study dichotomous outcomes, and Cox model to study survival. 9. Evidence-Based Medicine; systematic reviews and meta-analyses.

Bibliography

Examination Methods

------------------------
MM: Esercitazioni di Statistica Medica
------------------------
In the second part of the exam students will have to solve problems of inferential statistics, which will require to compute confidence intervals and/or to perform simple statistical tests. For this purpose, students will be enabled to use a computer equipped with a spreadsheet.
------------------------
MM: Lezioni di Statistica Medica
------------------------
TYPE OF EXAMS A written exam will be performed in the computer room. In the first part, students will have to answer about 30 multiple choice questions with 5-8 possible answers.