STATISTICS

General Module

Course Sheet

Course code:

OD06B

Academic Year of enrolment:

2020

Year of supply:

2020/2021

Type of Course:

Basic

Degree:

Course of Single Cycle Degree 6 years in SCHOOL OF DENTAL MEDICINE

Disciplinary Sector:

Medical Statistics

Is part of:

BEHAVIORAL SCIENCE

Location:

CHIETI

Credits:

Programme Year:

Professor and Collaborators:

DI NICOLA MARTA

Cycle:

Single Annual Cycle

Obligatory attendance:

Yes

Hours of classroom activity:

Individual study hours:

Prerequisites:

The proposed program will also allow students who have not previously matured
Disciplinary knowledge to achieve the training objectives indicated. There are therefore no prerequisites, but we recommend a knowledge of the notions of mathematics present in all high school programs.

Objectives

The primary objective of the course is to acquaint the student with the basic notions of the most important research methodologies and the main techniques of medical statistics, in order to better understand and interpret biomedical phenomena. In addition, the student will be given the ability to detect the main medical and clinical data of the patients, to analyze them statistically and to evaluate and discuss critically the results. In addition to this, we will try to prepare students to be able to describe, interpret and communicate appropriately the information collected on patient samples, subjects (or other statistical units) and, finally, to evaluate the reliability, appropriateness, etc. Diagnostic and screening tools.
INTERMEDIATE TARGETS
At the end of the course students should be able to:

Organize collected data;
• Construct and interpret graphs;
• Describe the differences between the different measuring scales;
• To calculate the most common indices of central trend and variability of the data;
• Analyze frequency distribution curves;
• Use some inferential statistical techniques.

Autonomy of Judgement: At the end of the course students should be able to reading articles related to topics related to the CdS with significant content of biostatistics.

Communication skills: At the end of the course students should be able to use the technical language of medical statistics

Contents

Basic principles of biostatistics, main techniques and data analysis tools.

Extended Syllabus

Specific content
• Purposes and methods of statistical analysis; Statistical characters and classification.
• Absolute, relative and cumulated frequencies; Arrangement and organization of data in tables;
Frequency distributions.
• Main graphical representations: orthograms, circular field diagrams, histograms,
Frequency polygons, dispersion diagrams.
• Central trend indices: arithmetic mean and properties; Harmonic media and geometric mean; Fashion, median and quartili.
• Variability indices: range; Interquartile deviation; Deviance, variance, standard deviation, coefficient of variation. Box-Plot.
• Curves of frequency distributions and shape indices (asymmetry, curtosis). The distribution
Normal.
• Probability: events and probability measures; Additive law and multipoint law; Chance
Conditional Bayes theorem.
• Probability and diagnostic tests: prevalence, incidence, sensitivity, specificity, predictive values, curve R.O.C.
• Diagnostic tests: sensitivity (SE) and specificity (SP) of a test; Positive and negative predictive value (VPP, VPN).
• Sample distribution of an estimator.
• Punctual estimates and interval estimates; Confidence interval (averages, proportions).
• Concept of statistical hypothesis testing: Null hypothesis and alternative hypothesis; I and II error type and the power of a test.
• Association between qualitative characters: The Chi-squared test and the exact Fisher test.
• Statistical tests for the comparison between averages and proportions (test Z and Student T-Test) for independent samples and for dependent samples.
• Simple linear regression (the minimum square line, b estimation, estimation, scomposition of regression variance, other tests on b. Confidence intervals for estimated y, confidence interval for b).
• Linear correlation (Pearson correlation coefficient).
• Multiple linear regression.
• Logistic regression.
• Critical reading of articles related to topics related to the CdS with significant content of biostatistics.

Recommended Bibliography

• Copy of the slides used during the lessons and bibliographic material available on-line on the site www.biostatistica.unich.it
• M. Pagano, K Gauvreau. Biostatistica. IDELSON-GNOCCHI

Teaching Methods

The teaching is structured in 40 hours of frontal didactics, each lesson will be divided into two parts. A first part in which will be presented the topic of the lesson and in a second part in which will be proposed by the teacher of the exercises that allow to verify the practical application of the topics treated in a theoretical way.

Evaluation methods

Verification of learning:

The verification of the preparation of the students will be done by written examination composed of multiple answer questions and/or exercises that allow to verify the practical application of the subjects covered. The total points (30) will be divided on the basis of the questions present on the task and reported on the text in relation to each individual test question. There is no oral test.
The duration of the test is 30 minutes.
The teaching methodology and the methods of verification will be presented by the teacher at the beginning of the course.

Contacts/More Information

Students will be received by the teacher by appointment to be agreed by e-mail to the address marta.dinicola@unich.it

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

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