INFORMATION PROCESSING SYSTEMS
Learning outcomes of the course unit
The course aims to enable the student to know and to understand the essential elements of the epidemiology and of statistics useful for nursing research, also in order to achieve the ability to use the knowledge and understanding gained in planning a search for the preparation of the thesis and thereafter conducting a professional activity based on "Evidence-based nursing".
The student at the end of the course, will have to demonstrate knowledge and understanding about:
- basic concepts of epidemiology
- basic principles of medical statistics
The student also, applying the knowledge and understanding acquired, must be capable of set up the necessary steps of preparation of his/her thesis.
Course contents summary
The lessons deal with elements of epidemiology and statistics useful for the planning of scientific research also using the model of the thesis as an example of the thesis research.
Population and sample
Introduction: medical statistics and related disciplines. Logic and statistical planning. Overview of combinatorial analysis: permutations, arrangements, combinations. Applications. Overview of probability calculations: simple and compound probability, Bayes theorem.
Odds. Odds ratios. Likelihood ratios. applications.
Probability distributions : binomial distribution, Poisson distribution, normal and standard normal distribution. Tables and their use.
Elements of descriptive statistics
Summarising data. Units of measure. Measurements of position, order and variation. Indices of central tendency, mean median, mode.
Indices of variability, variance, standard deviation, CV. Percentiles and their use.
Elements of statistical inference (hypothesis testing)
General principles of statistical inference. Sampling distribution. Hypothesis and hypothesis testing. Type 1 and type 2 error. Power of a test and operating curve.
Parametric test : Student t-test, ANOVA with 1 and 2 classification criteria.
Non-parametric test: Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Friedman test, median test, Chi-square test, Fisher exact test.
Overview of linear regression and correlation.
Power of the study and choice of the statistical test
Introduction to Epidemiology
M.M Triola, M.F. Triola : Fondamenti di Statistica, Ed. Pearson
C. Signorelli «Elementi di metodologia epidemiologica» Ed. Soc.Editrice Universo
E. Bottarelli «Quaderno di epidemiologia veterinaria» http://www.quadernodiepidemiologia.it/epi/HomePage.html
The course will be held through lectures to Students either in the classroom (“in presenza”) or in synchronous-streaming (“in telepresenza”) on the Teams platform. Therefore, the opportunity of Student/Teacher interaction will be preserved both face to face and remotely, by the simultaneous use of the Teams platform.
Lectures will be supported by slide presentations, which will be available to students on the Elly platform (https://elly.medicina.unipr.it).
Assessment methods and criteria
The assessment of the achievement of the objectives foreseen by the course includes a written test with multiple choice questions.
In case of the persistence of the health emergency, the exams will be conducted remotely, as follows:
structured written test conducted remotely (by Teams and Elly). The candidate will remain connected with microphone and video camera turned on and will carry out the test under the control of the commission.
The test consists of multiple choice questions on the course contents (reference texts + documents uploaded to Elly during the course). There is no penalty for incorrect answers. Consultation of the didactic material will be allowed.
The final mark, reported directly on Esse3, will correspond to the arithmetic average of the assessments obtained in the written test.
Students with SLD / BSE must first contact Le Eli-che: support for students with disabilities, D.S.A., B.E.S. (https://sea.unipr.it/it/servizi/le-eli-che-supporto-studenti-con-disabil...