Cardiocirculatory and Cardiovascular Perfusion techniques

1. INTRODUCTION 2. DESCRIPTIVE STATISTICS 2.1. Measurement Scales 2.2. Synthesis of data 2.2.1. Indexes of central tendency 2.2.2. Indexes of variation 2.2.3. Data presentation: Tables and Figures 3. PROBABILITY 3.1. Operations on events 3.2. Conditional probability 3.3. Diagnostic tests (sensitivity and specificity, positive and negative predictive values) 3.4. Theoretical probability distributions (Normal and Standardized normal distributions; Student’s t distribution); the Central Limit Theorem 3.5. Confidence Intervals 4. INFERENTIAL STATISTICS: NOTIONS ON THE THEORY OF SIGNIFICANCE TESTS 4.1. Null and alternative hypotheses 4.2. One-tailed or two-tailed Tests 4.3. Type I and Type II Errors and Power of the test 4.4. Size of the study 4.5. Statistical significance and clinical significance 4.6. Significance level and confidence interval 5. COMPARISON BETWEEN PROPORTIONS 5.1. Independent groups: Fisher's exact probability test 5.2. Independent groups: χ2 (chi-square) test 6. PARAMETRIC TESTS: COMPARISON BETWEEN MEANS 6.1. Student's t test for two independent groups 6.2. Student's t test for two matched groups 7. NON PARAMETRIC TESTS 7.1. Two independent groups: Mann-Whitney U test 7.2. Two matched groups: Wilcoxon test 8. CORRELATION AND REGRESSION 8.1. Pearson’s linear correlation coefficient 8.2. Spearman’s correlation coefficient for ranks 8.3. Simple linear regression

Camussi A., Möller F., Ottaviano E., Sari Gorla M., Metodi statistici per la sperimentazione biologica seconda edizione. Zanichelli, Bologna, 1995. Colton T., Statistica in Medicina. Ed. Piccin, Padova, 1983.

The Course will take place with traditional and/or remote lessons.

The attendance is mandatory.

The Assessment will consist of a final written exam and oral interview.

The Course will take place with traditional lessons.