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Research and Statistics II
| Code: | 5210 | Acronym: | IEII |
| Keywords | |
|---|---|
| Classification | Keyword |
| OFICIAL | Educational Sciences |
Instance: 2016/2017 - 2S
| Active? | Yes |
| Responsible unit: | 2º Ciclo Mestrados e Pós-Graduações |
| Course/CS Responsible: | Master in Oral Rehabilitation |
Cycles of Study/Courses
| Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
|---|---|---|---|---|---|---|---|
| MROB | 4 | Master in Oral Rehabilitation - Study Plan 2010/2011 | 1 | - | 2 | 18 | 54 |
Teaching language
PortugueseObjectives
Advanced Statistics Module
The implementation of medical procedures based on scientific evidence is a priority, as well as the realization that the desired effects may result from the influence of many factors. For this reason, it is intended that students acquire skills in implementing and analyzing results based on multivariate statistical methods to combine the influence of the determinants of disease causation. Also, it is intended to acquire skills in obtaining statistical forecasting models with scientific validity, and recognize the fundamental role played by statistical significance and clinical significance in achieving a scientifically valid medical knowledge.
Learning outcomes and competences
It is intended that students will be able to design and implement all phases of a research study and having a critical analysis of previously published articles. In special, concerning statiscal anlaysis methods. Finally, it is intended that students know to interpret the multifactorial causation in one or more outcomes.
Working method
PresencialPre-requirements (prior knowledge) and co-requirements (common knowledge)
Basic methods in statistical analysis.Program
Advanced Statistics Module
One-way Anova; Two-Way ANOVA; Multivariate ANOVA
Kruskal-Wallis test and Friedman test.
Simple and Multiple Linear Regression,
Logistic Regression
Association and causality - Confounders
Mandatory literature
Daniel Wayne W.; Biostatistics. ISBN: 978-0471-45654-4Maroco João; Análise estatística - com utilização do SPSS. ISBN: 978-972-618-452-2
Marques de Sá, J. P; Applied statistics using SPSS, Statistica, MatLab and R, Spinger, 2007. ISBN: 978-3-540-71971-7
Complementary Bibliography
Oliveira, A. G; Bioestatística, Epidemiologia e Investigação – Teoria e aplicações, Lidel, 2009. ISBN: ISBN: 978-972-757-558-9Teaching methods and learning activities
Lectures and practices supported by electronic means.Software
SPSSkeywords
Health sciencesEvaluation Type
Evaluation with final examAssessment Components
| Designation | Weight (%) |
|---|---|
| Exame | 100,00 |
| Total: | 100,00 |
Amount of time allocated to each course unit
| Designation | Time (hours) |
|---|---|
| Estudo autónomo | 54,00 |
| Frequência das aulas | 18,00 |
| Total: | 72,00 |
Eligibility for exams
Presence of a minimum number of classes (75%) accordingly of amount lectures.
Calculation formula of final grade
Final assessment = Final written exam
Examinations or Special Assignments
The proof of access to the final mark consists of performing a statistical analysis in SPSS database provided for this purpose and in its analytical report.
Classification improvement
Written exam after the candidate's request.
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Page created on: 2025-09-23 at 08:15:43 | Privacy Policy | Personal Data Protection Policy | Whistleblowing | Electronic Yellow Book
Page created on: 2025-09-23 at 08:15:43 | Privacy Policy | Personal Data Protection Policy | Whistleblowing | Electronic Yellow Book