ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 91 Hours of tutorials: 3 Expository Class: 30 Interactive Classroom: 26 Total: 150
Use languages Galician (100%)
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Statistics, Mathematical Analysis and Optimisation
Areas: Statistics and Operations Research
Center Faculty of Medicine and Dentistry
Call: First Semester
Teaching: Sin docencia (Extinguida)
Enrolment: No Matriculable | 1st year (Yes)
The main objective of this subject is for students to become familiar with the basic concepts and techniques of Descriptive Statistics, Probability and Statistical Inference.
In addition, it is intended that students understand the need and utility of statistical methodology in research in Health Sciences, particularly in Dentistry, becoming aware of the scope and limitations of this methodology.
As more specific objectives, students must:
- Know the basic statistical language
- Know and apply some basic statistical methods to represent and analyse simple data sets, and be able to draw conclusions from those analysis.
- Know, express and correctly interpret the levels of precision, confidence and error levels in the conclusions of a statistical study.
Topic 1. Descriptive Statistics
Introduction to Statistics. Variables. Frequency distributions. Graphic representations. Position and dispersion measurements.
Topic 2. Probability
Random experiment. Sample space. Events. Conditioned probability. Independence of events. Product rule, law of total probabilities and Bayes' theorem. Sensitivity, specificity, positive and negative predictive values.
Topic 3. Random variables
Discrete and continuous random variables. Probability distributions: mass function, density function and distribution function. Measures of a random variable. The Binomial distribution and the Normal distribution. Approximation of the Binomial distribution by the Normal distribution.
Topic 4. Estimation and confidence intervals
Introduction to Statistical Inference. Parameter estimation. Confidence intervals for the proportion and for the mean and variance of a Normal population.
Topic 5. Hypothesis testing
Introduction. Null and alternative hypothesis. Types of errors in a hypothesis test. Level of significance and power of a test. Stages in the resolution of a hypothesis test. The critical level or p-value. Tests with a sample: test for the proportion, and for the mean and variance of a Normal population. Tests with two samples: comparison of two means (independent samples, paired samples).
Topic 6. Association of categorical variables
Introduction. Contingency tables. Tests for categorical data: Chi-square test.
Topic 7. Regression models
Introduction to regression models. General concepts. The simple linear model. Parameter estimation: the least squares method. Inference about parameters. Decomposition of variability. Correlation coefficient and determination coefficient. Prediction. ANOVA.
BASIC
Borrajo, M. I. et al. (2020): “Estatística Descritiva”, Colección Esenciais USC. https://www.usc.gal/libros/gl/categorias/948-estatistica-descritiva-334…
Borrajo, M. I. et al. (2021): “Fundamentos da Teoría da Probabilidade”, Colección Esenciais USC. https://www.usc.gal/libros/gl/categorias/1025-fundamentos-da-teoria-da-…
Borrajo, M. I. et al. (2021): “O programa estatístico R”, Colección Esenciais USC. https://www.usc.gal/libros/gl/categorias/1024-o-programa-estatistico-r-…
Borrajo, M. I. et al. (2023): “Inferencia Estatística Paramétrica I”, Colección Esenciais USC. https://www.usc.gal/libros/gl/categorias/1183-inferencia-estatistica-pa…
Borrajo, M. I. et al. (2023): “Inferencia Estatística Paramétrica II”, Colección Esenciais USC. https://www.usc.gal/libros/gl/categorias/1182-inferencia-estatistica-pa…
García García, V. J. (2014): “Estadística descriptiva y Probabilidad”, Universidad de Cádiz. Available at https://prelo.usc.es/.
Kim, J.S. and Dailey, R. J. (2008): “Biostatistics for Oral Healthcare”, Blackwell.
Milton, J. S. (2007): “Estadística para Biología y Ciencias de la Salud”, McGraw-Hill-Interamericana.
Requena, F. (2008): “Introducción a la Estadística: Aplicación a la Odontología”, Proyecto Sur.
Rosner, B. (2011): “Fundamentals of Biostatistics”, Duxbury Press.
Verzani, J. (2005): “Using R for Introductory Statistics”, Chapman and Hall.
COMPLEMENTARY
Cao, R. et al. (1998): “Estadística básica aplicada”, Tórculo Edicións.
Daniel, W. W. (2002): “Bioestadística. Base para el análisis de las ciencias de la salud”, Limusa Wiley.
Martín Andrés, A. and Luna del Castillo, J. (2004): “Bioestadística para las ciencias de la salud”, Norma.
Pagano, M. and Gauvreau, K. (2001): “Fundamentos de Bioestadística”, Thomson-Learning.
Smeeton N. (2005): “Dental Statistics Made Easy”, Radcliffe Publishing (Oxford).
Within this matter, the aim will be to help students achieve the competencies included in the memory of the USC Bachelor's Degree in Dentistry:
CG.07. - Promote autonomous learning of new knowledge and techniques, as well as motivation for quality.
CG.08. - Know how to share information with other health professionals and work as a team.
CG.09. - Understand the importance of maintaining and using records with patient information for subsequent analysis, preserving the confidentiality of the data.
CG.18. - Know, critically value and know how to use the sources of clinical and biomedical information to obtain, organize, interpret and communicate scientific and health information.
CG.19. - Know the scientific method and have a critical capacity to value the established knowledge and novel information. Being able to formulate hypotheses, collect and critically assess information for problem solving, following the scientific method
CEMII.01. - Know the scientific method and have a critical capacity to assess established knowledge and novel information.
CEMII.05. - Know the procedures and clinical and laboratory diagnostic tests, know their reliability and diagnostic validity and be competent in interpreting their results.
Lectures (30 hours): in the lectures, the teachers will explain the theoretical-practical concepts of the contents, relying on multimedia presentations. Some problems will also be solved, so that the students can work on the exercises that will be provided. Regarding the material for the monitoring of the subject, in spite of the recommended bibliography, the students will have complementary teaching material through the Virtual Campus of the subject. In the lectures the general competences CG.07, CG.18, CG.19, as well as the specific CEMII.01 will be worked on.
Interactive teaching (26 hours): interactive teaching is distributed in exercises solving seminars and computer practices. In these sessions, students will be introduced to the R statistical software. In this interactive teaching sessions, the following competences will be enhanced: CG.07, CG.08, CG.09 and CEMII.05.
Tutorials: the tutorials are aimed at monitoring student learning. In these sessions, fundamental skills related to critical thinking and communication skills, among others, will be worked on.
At least one test of continuous assessment will be carried out, a final exam at an ordinary call and another at an extraordinary call.
The final qualification of the subject will correspond to 70% of the qualification obtained in the final exam (in ordinary or extraordinary call, if the first subject is not passed), and the remaining 30% will correspond to the score obtained in continuous assessment.
In this matter, students have 56 hours of face-to-face teaching (30 hours of expository teaching and 26 hours of interactive teaching). For each hour of expository teaching, it is considered necessary to dedicate around 1.5 hours of student work to the study (review of concepts and bibliography consultation).
In relation to interactive teaching, for each hour one hour is considered necessary for class review. Additionally, students should bear in mind that it is necessary to practice problem solving.
Attendance to lectures and interactive sessions is essential for passing the subject. Students must carry out all the activities recommended by the teaching staff (problem solving, bibliography review and practical exercises) to successfully pass the subject.
Note that, in cases of fraudulent performance of exercises or tests, the provisions of the "Regulations for the evaluation of student academic performance and the review of grades" will apply.
María José Ginzo Villamayor
- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- mariajose.ginzo [at] usc.es
- Category
- Professor: LOU (Organic Law for Universities) PhD Assistant Professor
Maria Isabel Borrajo Garcia
Coordinador/a- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- mariaisabel.borrajo [at] usc.es
- Category
- Professor: Temporary PhD professor
| Monday | ||
|---|---|---|
| 09:30-10:30 | Grupo /CLE_01 | Dentistry-Classroom 1 |
| Tuesday | ||
| 12:30-13:30 | Grupo /CLIS_01 | Dentistry-Classroom 1 |
| Wednesday | ||
| 08:30-09:30 | Grupo /CLE_01 | Dentistry-Classroom 1 |
| 09:30-10:30 | Grupo /CLE_01 | Dentistry-Classroom 1 |
| 10:30-11:30 | Grupo /CLIL_01 | Dentistry-Classroom 1 |
| 11:30-12:30 | Grupo /CLIL_02 | Dentistry-Classroom 1 |
| 12:30-13:30 | Grupo /CLIL_03 | Dentistry-Classroom 1 |
| 01.18.2024 09:00-12:00 | Grupo /CLE_01 | Dentistry-A. Suárez Nuñez |
| 01.18.2024 09:00-12:00 | Grupo /CLE_01 | Dentistry-Classroom 3 |
| 06.28.2024 09:00-12:00 | Grupo /CLE_01 | Dentistry-A. Suárez Nuñez |
| 06.28.2024 09:00-12:00 | Grupo /CLE_01 | Dentistry-Classroom 3 |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |
| Teacher | Language |
|---|---|
| BORRAJO GARCIA, MARIA ISABEL | Galician |
| Ginzo Villamayor, María José | Galician |