Research Methods II

Year
2
Academic year
2018-2019
Code
01014277
Subject Area
Multidisciplinary
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
2.0
Type
Compulsory
Level
1st Cycle Studies

Recommended Prerequisites

The student must master all the knowledge on biostatistics and biomedicine acquired in the previous semester (Research Methods 2).

Teaching Methods

A theoretical class will include  a concise review of the material to be covered and its links to previous classes, always with an emphasis on the learning of decision making skills. A theoretical and conceptual analysis is then provided. The next phase is oriented towards problem based learning using practical examples. Given that in the theoretical classes we discuss problem solving techniques this provides a direct link to the independent material shown in the practical classes.

Learning Outcomes

This obligatory semester on quantitative Methods on Fundamental, Pre-clinical, Translational  and Clinical Research further consolidates the understanding how biostatistical methods can be used to infer population characteristics based on appropriate samples. The link with modelling and multivariate approaches is consolidated in this Course Unit.

Work Placement(s)

No

Syllabus

Tests involving mean comparisons across multiple groups.

Multiple regression and partial correlations.

Relation between statistical testing and modeling.

Generalization of effects to the population level. The generalized linear model. Fixed effects and random effects.

Logistic regression

Causality models and causal reasoning.

Event analysis. Survival analysis.

Medical decision and ROC curves

Experimental studies for therapy evaluation.

Sample size calculations

Experimental design and randomization methods in pre-clinical and clinical

studies

Metaanalysis and systematic reviews

Statistical modeling for the implementation of metaanalyses in the context of evidence based medicine. The use of fixed and random effects in metanalysis

Studies where observations are correlated.

Head Lecturer(s)

Miguel Sá Sousa Castelo Branco

Assessment Methods

Assessment
Resolution Problems: 25.0%
Mini Tests: 25.0%
Exam: 50.0%

Bibliography

•              Bernard Rosner Fundamentals of Biostatistics 2006 Thomson Brooks/Cole 868 p ISBN:0534418201

•              Daly & Bourke Interpretação e aplicações da estatística em Medicina Ed. Instituto Piaget, 2000

•              Massad, Menezes, Silveira & Ortega Métodos Quantitativos em Medicina    ed. Manole, 2004.

•              Betty Kirkwood and Jonathan Sterne Essential Medical Statistics Publisher: Wiley-Blackwell; 2nd Edition edition (8 May 2003)

•              David Machin, Michael J. Campbell The Design of Studies for Medical Research  ISBN: 978-0-470-84495-3, 286 pages February 2005, ©2005

•              Artigos de biomedicina - Versões pdf disponibilizadas pelo corpo docente