Research and Statistics I

Code:

5202

Acronym:

IEI

Keywords
Classification	Keyword
OFICIAL	Educational Sciences

Instance: 2019/2020 - 1S

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	-	3	28	81

Teaching language

Portuguese

Objectives

To interpret the typology of different epidemiological studies apply and interpret different epidemiological indicators: morbidity, mortality, and risk. To identify the main mistakes of research and the main rules of research and writing according to the scientific method. To enable the selection of methods of data analysis (descriptive and inferential) and its interpretation. To be able to determine and interpret the main properties of diagnostic tests.

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.

Working method

Presencial

Program

Mandatory literature

Daniel Wayne W.; Biostatistics. ISBN: 978-0471-45654-4
Gordis Leon; Epidemiology. ISBN: 978-1-4160-4002-6
Maroco João; Análise estatística - com utilização do SPSS. ISBN: 978-972-618-452-2
Henk F. Moed; Citation analysis of scientific journals and journal impact measures, Current Science, 2005, 89: 1990-1996, 2005
Falagas M. E., Pitsouni E.I., Malietzis G.A., Pappas G.; Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses, The FASEB Journal, 2008; 22: 338-342, 2008

Complementary Bibliography

Amit Chattopadhyay; Oral Health Epidemiology Principles and Practice , Jones and Bartlett Publishers, 2011. ISBN: 13:978-0-7637-5409.9
Kenneth J Rothman, Sander Greeland, Timothy Lash M; Modern Epidemilogy, Wolters Kluwer, 2008. ISBN: 978-0-7817-5564-1

Teaching methods and learning activities

The lectures are intended for the presentation of Epidemiology concepts and Descriptive Statistics. The implementation of TP classes are used for solving statistical problems with the support of SPSS. They are useful for analysis of published articles, with special emphasis on the consistency of the discussion of statistical methods and research design like proposed objectives.

Software

spss

keywords

Health sciences
Health sciences

Evaluation Type

Evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	53,00
Frequência das aulas	28,00
Total:	81,00

Eligibility for exams

For this aim, students must obtain a minimum of 75% attendance between all lectures.

Calculation formula of final grade

Final classification = assessement exam

Classification improvement

Written exame.