Biostatistics

Year
3
Academic year
2020-2021
Code
01003650
Subject Area
Biomedical Engineering
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
4.5
Type
Compulsory
Level
1st Cycle Studies

Recommended Prerequisites

N.A.

Teaching Methods

Lecturing, demonstrating, discussion and practical problem resolution.

Learning Outcomes

To analyze data using appropriate statistical procedures;
To use suitable software tools to perform statistical calculations;
To plan correctly statistical studies in biomedical sciences;
To judiciously evaluate the results of studies published in the literature.

Work Placement(s)

No

Syllabus

Introduction to exploratory data analysis: level of measurement, measures of location and dispersion.
Descriptive statistics and data visualization: numerical indicators and graphics. Databases: creation, labeling and debugging.
Probability: concept and algebra. Random variables and probability functions. Discrete probability distributions:
binomial and Poisson. Continuous probability distributions: normal, normal standard and t-Student. Central limit theorem.
Inferential statistics. Sample, population and sampling techniques. The estimation theory: point estimation and confidence intervals.
Statistical hypothesis and hypothesis testing. Level of significance and power of a test. P value. Parametric and non-parametric tests.
Methods of regression and correlation;
Statistical methods of supervised and unsupervised classification.

Assessment Methods

Evaluation
Exam: 100.0%

Bibliography

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

Fundamentals of Biostatistics, Bernard Rosner, Thomson Brooks/Cole, 2006

Bioestatística, Epidemiologia e Investigação, A. Gouveia de Oliveira, Lidel

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

Pattern Classification; Richard Duda, Peter Hart, David Stork; John Wiley & Sons, Inc

An Introduction of Support Vector Machines; Nello Christianini, John Shawe-Taylor; Cambridge University Press