STATISTICS APPLIED TO MEDICINE
Learning outcomes of the course unit
Understanding of biostatistics applied to occupational medicine. The
software OPENSTAT will be also used to apply the examples, with the aim to
make the students able to perform base statistics with a freeware software.
Knowledge of basic mathematics, basic knowledge of English.
Course contents summary
Definition of statistics. The types of biostatistical studies. Descriptive
statistics: qualitative and quantitative variables. Measures of central
tendency, dispersion, symmetry for quantitative variables. Arithmetic mean,
The normal and non-normal distribution. Skewness and Kurtosis.
Kolmogorov-Smirnov’s e Shapiro-Wilk’s tests. Elements about binomial and
Parametric and Non-Parametric Inferential statistics. The sampling theory
and central limit theorem. Hypothesis test on a mean. Constraints and
degrees of freedom. T-Student distribution. Repeated and independent
measures t-student test. Non-parametric test. The rank. Mann-Whitney’s and
Wilkoxon’s tests. The frequency for categorical/qualitative variables. The
sampling of categorical variables. 2*2 contingency tables. Chi-square test
for independent data. Screening test: prevalence, sensitivity, specificity,
positive and negative predictive values, LR+/-.
Difference between correlation and regression. Simple linear regression.
Correlation coefficient R. Pearson’s and Speraman’s tests.
As reported in Contents.
Classroom notes, any basic Statistics textbook.
Assessment methods and criteria