Multivariate analysis of biomedical data

Year
1

Academic year
2017-2018

Code
03019568

Subject Area
Biomedical Engineering

Language of Instruction
Portuguese

Other Languages of Instruction
English

Mode of Delivery
Face-to-face

Duration
SEMESTRIAL

ECTS Credits
6.0

Type
Elective

Level
3rd Cycle Studies

Recommended Prerequisites

Knowledge of descriptive and univariate inferential statistics. Basic programming skills.

Lecturing, discussing and resolving practical problems.

* Recognize the multivariate nature of most biomedical problems and the limitations of univariate analysis

* Understand the difference between univariate and multivariate analysis

* Perform and interpret results of multivariate statistical methods

* Acquire the fundamentals of data reduction techniques

* Use software tools to build multivariate statistical models applied to biomedical data

* Introduction to multivariate analysis of data

* Multiple linear regression models

* Logistic regression models

* Discriminant analysis

* Principal component analysis

* Clustering techniques

Francisco José Santiago Fernandes Amado Caramelo

Assessment
Project: 100.0%

* Análise Estatística, com utilização do SPSS; João Maroco, Edições Silabo;

* Multivariate data analysis; JF Hair, WC Black, BJ Babin, RE Anderson, RL Tatham; Pearson Prentice Hall

* Applied Multivariate Data Analysis, Everitt B, Dunn G, Wiley

* The Essence of Multivariate Thinking: Basic Themes and Methods; Harlow L; Psychology Press