Medical Statistics (English)

Esci dai Frame

MEDICAL STATISTICS (ENGLISH)

Programma del Corso

This is a provisional program for ay 2014-2015: it will be updated

Medical Statistics (3 CFU)

Introduction to Statistics and the use of Statistics in Medicine (Evidence-Based Medicine / Nursing / Prevention). Quantitative knowledge of phenomena with variability.

Elements of descriptive statistics. Main concepts and terminology; classification of variables and their coding. Frequency distributions, syntheses and graphical representations; position and variability indexes (arithmetic mean, weighted mean, median and quantiles, ranges, standard deviation, variance and variation coefficient). Statistical indexes in relation with the shape of the distribution (symmetry, skewness, multiple modes).

Elements of probability theory. Events and definition of probability; conditional probability; basic rules of probability theory. Bayes formula. Applications, in particular in diagnostic test (concept of sensitivity, specificity, predictive value of the test). Concepts of random variable, probability distribution, expected value. Main probability distributions and their use in applications: Binomial, Poisson, Normal. Comparing probabilities in two groups: Risk Ratio.

Elements of frequentist statistical inference. Framework and repeated sampling principle; the distribution of the sample mean. Point estimation; main properties of estimators. Interval estimation via confidence intervals. Concepts and basic elements of statistical testing; type I and II error, rejection regions, significance (p-value). Examples: T-test for the mean and the proportion. Studying associations: contingency (cross-) tables, Chi-Squared index and test; T-test for two means; linear correlation and regression line. Concept of confounding.

The part related to linear correlation and regression line will not be treated at the exams.

	MEDICAL STATISTICS (ENGLISH)

Programma del Corso

This is a provisional program for ay 2014-2015: it will be updated Medical Statistics (3 CFU) Introduction to Statistics and the use of Statistics in Medicine (Evidence-Based Medicine / Nursing / Prevention). Quantitative knowledge of phenomena with variability. Elements of descriptive statistics. Main concepts and terminology; classification of variables and their coding. Frequency distributions, syntheses and graphical representations; position and variability indexes (arithmetic mean, weighted mean, median and quantiles, ranges, standard deviation, variance and variation coefficient). Statistical indexes in relation with the shape of the distribution (symmetry, skewness, multiple modes). Elements of probability theory. Events and definition of probability; conditional probability; basic rules of probability theory. Bayes formula. Applications, in particular in diagnostic test (concept of sensitivity, specificity, predictive value of the test). Concepts of random variable, probability distribution, expected value. Main probability distributions and their use in applications: Binomial, Poisson, Normal. Comparing probabilities in two groups: Risk Ratio. Elements of frequentist statistical inference. Framework and repeated sampling principle; the distribution of the sample mean. Point estimation; main properties of estimators. Interval estimation via confidence intervals. Concepts and basic elements of statistical testing; type I and II error, rejection regions, significance (p-value). Examples: T-test for the mean and the proportion. Studying associations: contingency (cross-) tables, Chi-Squared index and test; T-test for two means; linear correlation and regression line. Concept of confounding. The part related to linear correlation and regression line will not be treated at the exams.