Biostatistics with SPSS

Year
1
Academic year
2018-2019
Code
02033774
Subject Area
Estatística
Language of Instruction
Portuguese
Mode of Delivery
E-learning
ECTS Credits
2.0
Type
Compulsory
Level
Non Degree Course

Recommended Prerequisites

NA

Teaching Methods

The course has 2 ECTS credits (52 hours) and takes place during 8 weeks. It is taught online, supported by an e-learning platform, according to the Universidade Aberta’s Pedagogical Model. The program is organized in 5 modules covering all contents and each topic is discussed based on practical cases and SPSS exercises. All interactions happen in a virtual class environment, where learning is student-centered and structured in activities which are well-defined at the beginning of the course. A temporary license to use the SPSS software will be made available to each trainee.

Work Placement(s)

No

Syllabus

Module 1 - Introduction to the e-learning platform; Research problems in Biomedicine and Life Sciences.
Module 2 - Descriptive Statistics and Data Visualization.
Module 3 - Statistical tests. Basic concepts on hypothesis testing; Parametric Tests and Non-parametric Tests for group comparisons; Association and Correlation Tests.
Module 4 - Topics in regression analysis. Basic concepts, adjustment and interpretation of coefficients of explanatory variables. Inference.
Module 5 - Introduction to Survival Analysis. Fundamental concepts in Survival Analysis. Reporting and communicating results of statistical analyses.

Assessment Methods

Final assessment
Individual Final Work (TFI), of a practical nature: 100.0%

Continuous assessment
Participation in the course forums during the course activities: 100.0%

Bibliography

- Biostatística com SPSS: abordagem prática; Miguel Patrício, Marisa Loureiro, Francisco Caramelo, Plátano Editora, 2017;

- Análise Estatística, com utilização do SPSS; João Maroco, Edições Silabo, 2007;

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

- Bioestatística descodificada - Bioestatística, Epidemiologia e Investigação, A. Gouveia de Oliveira, Lidel, 2014;

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