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Advanced Statistics in Public Health

Objectives

This course focuses advanced statistical methods, introducing advanced concepts and methodologies in statistics(sampling, Multivariate Statistics, spatio-temporal Statistics, etc.), with special emphasis on their applications in Public Health. More specifically doctoral students should be able to:

- Formulate and solve problems in health research using advanced statistical and / or multivariate methods;

- Develop critical processes related to the framework, the potentialities and limitations of the various statistical methods in Public Health;

- Develop the capacity for effective use of statistical methods in research, aiming at producing robust and valid results.

General characterization

Code

9276

Credits

4.0

Responsible teacher

Baltazar Emanuel Guerreiro Nunes Bravo Nunes, Carla Nunes

Hours

Weekly - Available soon

Total - 40

Teaching language

Português

Prerequisites

Be attending the PhD course in Public Health.

Bibliography

– Afonso A., Nunes C.(2011). Estatística e Probabilidades: aplicações e soluções. Escolar Editora.

– Altman, D.G.(1991). Practical statistics for medical research. London Chapman & Hall.

– Beaglehole,R., Bonita,R., Kjellstrom,T.(1993). Epidemiologia Básica. ENSP.

– Dawson B., Trapp R. (2001), Bioestatística Básica e Clínica, Mc Graw-Hill

- Maroco, J. (2011) Análise Estatística com a utilização do SPSS. 5ª Ed. Report Number

Teaching method

This course primarily includes theoretical and practical aspects, directed to the research problems of each student.

Hence it is essential that some lectures are conducted at a computer lab (using various software Statistics) and with a maximum of 15 students.

Classes consist of a basic theoretical presentation and subsequent applications using a variety of software’s. Particular attention will be given to the concepts, problems framework, resolution, interpretation and critical discussion in the context of research in Public Health.

Evaluation method

- Presentation of a report written as a research paper, presentation and discussion. (80%)

- Participation in the sessions (20%)

Subject matter

1. Sampling

2. Multiple Linear Regression

3. Logistic Regression

4. Principal Components Analysis

5. Clustering Process (Spatio-temporal statistics)

The content of CU includes theoretical and practical learning of the main statistical techniques used in public health.