Biostatistics

Bioestatística

Course code:68109

Duarte Pedro de Sousa Tavares

Learning outcomes of the curricular unit:

Instrumental competences

• know the limitations of statistical analysis
• adapt the methodology to the problem under
• distinguish descriptive statistics from statistical inference
• apply techniques of descriptive statistics
• understand the concept of sampling distribution
• understand the concepts of Population, Sample, Parameter Estimator and Skewness
• estimate confidence intervals
• distinguish parametric and nonparametric tests
• apply parametric and nonparametric tests
• distinguish and apply the different types of statistical regression

Interpersonal competences

• recognise statistics as an independent scientific field with connections to other sciences and as an important field of knowledge in the society and in the modern science
• literature reviews
• work as a team

Systemic competences

• collect and organize the information required for the study to be performed
• describe the information clearly and concisely to facilitate the research
• perform calculations using the statistical tool SPSS (Statistical Package for the Social Sciences) and interpret the results

Syllabus:

The theoretical lessons, which may take on a theoretical and practical character, cover the following programmatic contents:

1. Exploratory Analysis of Univariate Data
2. Exploratory Analysis of Bivariate Data
3. Confidence Intervals: mean, variance and proportion
4. Hypothesis Tests and Comparison of Data through Parametric and Non-Parametric Tests
5. Notions of Statistical Inference: Linear Regression and Logistic Regression

Suggested Bibliography:

• Daniel WW, Cross CL (2018) Biostatistics: A Foundation for Analysis in the Health Sciences. 11th ed. Hoboken: John Wiley & Sons, Inc.
• Guimarães RC, Mello FM (2015) Métodos Estatísticos para o Ensino e a Investigação nas Ciências da Saúde. Lisboa: Edições Sílabo.
• Marôco J (2014) Análise Estatística com o SPSS. 6th ed. Pêro Pinheiro :Report Number.