Learning objectives
The Module of Experimental Statistics is part of the Integrated
Course of Chemical-Physical and Experimental Sciences. The main formative objective is to give to the students the basic elements of medical statistics and biostatistics, so they can study and understand the scientific literature and have some basic concepts for future experimental studies to be conducted during the thesis period. Some concrete examples from environmental and occupational medicine will be done to better insert this module in the context of students’ field. Finally, some examples will be shown with a program called OPENSTAT, a freeware software specifically designed for basic statistics.
Prerequisites
Knowledge of basic mathematics, basic knowledge of English
Course unit content
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,
median, mode.
The normal and non-normal distribution. Skewness and Kurtosis.
Kolmogorov-Smirnov’s e Shapiro-Wilk’s tests. Elements about binomial and
Poisson distributions.
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.
Full programme
As reported in Contents.
Bibliography
Classroom notes, any basic Statistics textbook.
Teaching methods
During the classroom lectures the topics of the module program will be
illustrated and commented. Each theory argument with mathematical
formulae will be explained with the use of simple and practice examples,
so that the student can focus his/her attention on basic concepts more
than the formulae themselves. Furthermore, the use of the software
OPENSTAT will permit to the student to repeat the statistical tests treated
during classes for a better comprehension of their use and meaning.
Several technical terms will be used both in Italian and in English, so that the
student can read on his own the international scientific literature.
Assessment methods and criteria
The verification of the achievement of module objectives is a written or oral test, mainly consisting of open questions about the arguments treated during the lessons. In this way, it is possible to assess the student’s knowledge and understanding of both theory and practice principles and their application in medical and biological field through the use of current examples.
Other information
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2030 agenda goals for sustainable development
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