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Applied Biostatistics

Code 11025
Year 1
Semester S1
ECTS Credits 5
Workload TP(40H)
Scientific area Medicina
Entry requirements No prerequisites.
Learning outcomes The aim is that the students learn and apply several methods of inferential statistics,
parametric and nonparametric, and analyze statistical data with the aid of a software (like
SPSS).
At the end of the course, students should be able to:
- Apply concepts and methodologies in the planning of laboratory and clinical studies, and in
collecting and analyzing statistical data from these studies.
- Understand and apply statistical methods used in the analysis of different data types.
- Use software that allows the statistical analysis of experimental data.
- Organize and present experimental data.
Syllabus 1. Sampling. Determination of the sample size.
2. Goodness of fit tests: Chi-square, Kolmogorov-Smirnov and Shapiro-Wilk.
3. Parametric tests: one sample or two-samples for means.
4. One-way, two-way and two-way with interaction analysis of variance. Multiple comparisons:
LSD, Tukey, Scheffé and Bonferroni tests.
5. Nonparametric tests: independence test and independent and paired samples tests: Mann-
Whitney, Kruskal-Wallis, Wilcoxon, Sign, McNemar and Friedmann.
6. Simple and multiple linear regression.
7. Simple and multiple logistic regression. ROC curve.
Main Bibliography Main Bibliography:
Maroco, J. (2007). Análise Estatística, com utilização do SPSS, 3ª Edição. Edições Sílabo.
Altman, D. (1990). Practical Statistics for Medical Research. Chapman Hall.
Hosmer, D., Lemeshow, S. (2000). Applied Logistic Regression, 2ª Edition. John Wiley & Sons.
Complementary Bibliography:
Pestana, M. H. & Gageiro, J. N. (2008). Análise de Dados para Ciências Sociais: A
Complementaridade do SPSS, 5ª Edição. Edições Sílabo.
Pestana, M. H. & Gageiro, J. N. (2005). Descobrindo a Regressão – Com a Complementaridade do
SPSS. Edições Sílabo.
Marques Sá, J. P. (2007). Applied Statistics using SPSS, STATISTICA, MATLAB, 2ª Edition. Springer
Verlag.
Oliveira, A.G. (2009). Bioestatística, Epidemiologia e Investigação. Lidel.
Teaching Methodologies and Assessment Criteria The classes are of type theoretical and practical, in which each student has a computer for data processing with statistical software (SPSS). The classification of teaching and learning will be the average of two written tests. The final classification is the average of the written tests.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2020-01-21

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