Office hours of this course are not pre-determined but are available on request via email to the appropriate professor.
Adrián González (agonzalezm@uic.es)
Introduction
In the event that the health authorities announce a new period of confinement due to the evolution of
the health crisis caused by COVID-19, the teaching staff will promptly communicate how this may effect
the teaching methodologies and activities as well as the assessment.
In Health Sciences, and therefore in Dentistry, researchers study phenomena affected by variability. Therefore, clinical observation and the search for responses create the necessity to measure, order and systematize data to subsequently apply laws and extrapolate the obtained results to the study population, thus drawing conclusions for better clinical practice. Biostatistics is the science, that with scientific rigor, gives us the quantitative tools to reach this goal. Epidemiology, on the other hand, is "the study of the distribution and determinants of health-related states or events (including disease), and the application of this study to the control of diseases and other health problems". Both areas are necessary to perform analyses and critical readings of scientific literature and to promote clinical practices based on scientific evidence.
Pre-course requirements
Not required
Objectives
After the course students will have acquired the knowledge to:
Carry out a basic statistical analysis.
Properly interpret basic methodological aspects and results of scientific publications.
Understand diseases based on various epidemiological measures.
Know the different types of studies necessary for epidemiological research.
Establish the methodological and analytical procedure to respond to the objectives posed by a clinical study.
Plan a well-designed study.
Competences / Learning outcomes of the degree programme
Skills that will be developed:
Use and management of information and search Capacity for analysis and synthesis Ability to work autonomously Ability to apply knowledge in practice Knowledge of the profession in the study area Ability to generate knowledge from practice.
07 - Promoting new knowledge and techniques being acquired through autonomous learning, as well as the motivation to achieve quality.
08 - Knowing how to share information with other healthcare professionals and how to work as part of a team.
09 - Understanding the importance of keeping and using patient files in order to subsequently analyse them, while ensuring patient confidentiality is maintained.
11 - Understanding the basic biomedical science Dentistry is based on in order to ensure that adequate dental healthcare is provided.
Learning outcomes of the subject
2.06 - Develop appropriate research questions
2.08 - Know how to read scientific literature critically and recognize its parts
2.11 - Understand and interpret the fundamental concepts of bio statistics related to dentistry
2.12 - Use of specific IT tools
2.10 - Understand the fundamental concepts related to epidemiology and the scientific process
Syllabus
Introduction to statistics
Descriptive statistics
Frequency tables
Statistical measures (central tendency, spread, position and shape)
Graphical representations
Bivariate descriptive statistics
Inferential statistics
Introduction: confidence intervals and hypothesis testing
Univariate inference
Bivariate inference
Epidemiology
Introduction to epidemiology
Types of studies
Measures of frequency
Measures of association
Measures of impact
Teaching and learning activities
TRAINING ACTIVITY
METHODOLOGY
ECTS CREDITS
Therorical class
2.5
Seinary
0.5
Evaluation systems and criteria
Bibliography and resources
Martínez-González MA, Sánchez-Villegas A, Faulín Fajardo FJ. Bioestadística amigable (2ª ED). Díaz de Santos. Madrid; 2006.
Peña D. Fundamentos en Estadística. 1 ed. Alianza Editorial, S.A.: Madrid; 2001.
Ahlbom A, Norell S (2000). Fundamentos de Epidemiología. 3ª ed. Madrid: Siglo XXI Editores.
Bopal R (2002). Concepts of Epidemiology - An integrated introduction to the ideas, theories,
Principles and methods of epidemiology. London: Oxford University Press.
Rothman KJ (2002). Epidemiology: An introduction. New York: Oxford University Press.
Szklo M, Nieto J (2003). Epidemiologia intermedia: conceptos y aplicaciones.Madrid: Díez de Santos.
Clayton D. Statistical models in epidemiology.
Argimon. Metodos para Investigacion Clinica y Epidemiologica.
Jewell N. (2004). Statistics for Epidemiology. Chapman & Hall/ CRC.
CDC. Principles of Epidemiology in Public Health Practice. Third Edition. Atlanta: CDC; 2012.
Kleinbaum DG, Sullivan KM, Barker N. A pocket-guide to epidemiology. New York: Springer; 2007.
Kim JS, Dailey RJ. Biostatistics for oral healthcare. Blackwell Munksgaard, 2008.
Evaluation period
E: exam date | R: revision date | 1: first session | 2: second session: