Biostatistics

Recommended Prerequisites

Not appllicable.

Teaching Methods

Lecturing, discussing and resolving practical problems.

Learning Outcomes

It is expected the student will be able to:

- define and distinguish between descriptive and inferential statistics; within this one, distinguish between estimation and hypothesis testing.

- learn the steps and requirements of a statistical analysis.

- assess the adequacy of research questions and corresponding choice of main measures.

- acknowledge different study designs.

- place data in a format adequate for statistical analysis.

- perform descriptive data analysis.

- select the correct hypothesis test, given a research question.

- perform simple inferential analysis.

- report statistical results.

Work Placement(s)

No

Syllabus

- Identifying and discussing the adequacy of research questions.

- Identifying different study designs.

- Identifying the main outcome measure of a study. Understanding the consequences of this choice.

- How to structure data for statistical analysis.

- Identifying outliers and describing data.

- Choice of the appropriate statistical tests.

- Application of statistical thought.

- How to report statistical results.

Head Lecturer(s)

Bárbara Cecília Bessa dos Santos Oliveiros Paiva

Assessment Methods

Assessment
Resolution Problems: 100.0%

Bibliography

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

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

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

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

R for Medicine and Biology, Paul D Lewis, Jones and Bartlett, 2010.