Biostatistics

None.

Classes consist of a theoretical exposition of the subject, but always accompanied by practical examples so that there is a better and easier understanding of it. The resolution of practical exercises is done using the SPSS computer support, thus making it possible to apply the material taught to real cases.
Students are provided a theoretical support, throughout the semester, so that they can better follow the explanation of the subjects taught. The clarification of questions is done in fixe schedule or in time to be arranged. The NONIO platform is used in the transmission and organization of support to school materials as well as through interaction teacher / student and among students.

The student should acquire skills to understand the underlying applicability of the theoretical models used for statistical analysis as well as analyse and interpret the results obtained. Students should also be able to use the computer software SPSS to solve problems involving the concepts developed in the course. The student should acquire the basic skills for conducting studies for quantitative analysis, also critical appreciation and proper interpretation of the results of an inferential study.

Descriptive statistics (11 hours)

Population, sample and individuals
Frequency tables and graphical representation
Statistics – measures of central tendency, dispersion, Skewness and Kurtosis
Correlation and Regression

Hypothesis testing

Statistical Assumptions; Classification errors and significance levels; (2 hours)
Parametric Statistics: One-sample t-test; two-sample t-tests for a difference in mean; Analysis of variance – One-Way ANOVA; (20 hours)
Non-parametric tests: paired samples: Friedman, Wilcoxon and McNemar; independent samples: Mann-Whitney U and Kruskal-Wwallis H; (20 hours)
Association and Correlation. (4 hours)

NAO

A. Gouveia de Oliveira(2009). Bioestatística, Epidemiologia e Investigação – teoria e aplicações, Lidel.

 Cecília Moura Silva (1994). Estatística aplicada à psicologia e ciências sociais, McGraw-Hill.

 Francisco Mercês de Mello, Rita Cabral Guimarães (2015). Métodos Estatísticos para o Ensino e a Investigação nas Ciências da Saúde, Edições Sílabo.

 Gilda Cunha, Mª do Rosário Martins, Ricardo Sousa, Filipa Ferraz de Oliveira.(2007). Estatística aplicada às ciências e tecnologias da saúde, Lidel.

 Joaquim Pinto Coelho, Inês Legatheaux Martins, Luísa Margarida Cunha (2008), Inferência Estatística – Com utilização do SPSS e G*power, Edições Sílabo.

 João Maroco (2003). Análise estatística com utilização do SPSS, Edições Sílabo.

 Pedro Marques Vidal (2005). Estatística prática para as ciências da saúde, Lidel.