Statistics

Not applicable.

Theoretical:

• Use of expository-active methodology easy to understand by the students.

• The display will focus on the identification and understanding of the basic concepts of Statistics and its relation with the Health field.
• Display of methods and statistical techniques according to the clinical reality and its transposition into the computer environment.

2nd Theoretical-practical component:

• The application of knowledge learned in theory with the use of statistical analysis software is privileged.
• The student will benefit from a strong practical component in statistical analysis software since the formation of databases, aggregation, transformation and manipulation.
• Application of different models of statistical analysis using specialized software.

3rd Practical Strand:

• Practical statistics exercises with examples related to environmental health and health in general are privileged.

1. The student must acquire knowledge of:

       Analytical Methods and Techniques in Statistics that allow the understanding of different health phenomena.
       Sample Estimation Method and its test power depending on the different research designs that the student can be confronted with in the medical, clinical and laboratory scope.
       Data Analysis Software in Statistics.

    

   The student must acquire skills in:

       Estimation of Samples on population/sample, experimental, cohort and case-control parameters.
       Creation of “Databases”, manipulation of clinical and laboratory indicators (exams, samples, analytical parameters, measurement scales, etc.) and interpretation of results.

    

   The student must acquire skills in:

       Decision on Statistical Analysis Models for the study of real facts (prevalence/diagnosis), prediction of results (prognosis) and choice of indicators/indices (multivariate methods).
       Validation of diagnostic and prognostic methods in the clinical setting.
       Analysis and interpretation of results manipulated in statistical analysis software.

• General concepts: Descriptive Statistics and Inductive Statistics; • Sampling designs: Probabilistic/Random and non-Probabilistic Models; • Estimation of representative samples on the basis of the research design (10h).
• Data Reduction and Measuring Scales; • Descriptive Statistics: data tabulation, measures of central and non-central and dispersion tendency; • Distribution Measures: Symmetry, Flattening and Normal Distribution and its properties to the inferential statistics (20h).
• Inductive Statistics: Estimation for Point, for Trust Intervals and Statistical Tests depending on the type of study (Analytical, Cohort and Experimental). • Introduction and Application of Statistical Analysis Software): Creation of Databases, simulation of clinical phenomena according to the drawings of study (research). • Application of statistical models, interpretation of results and its extrapolation for the population (45h).

NAO

Bibliografia Primária

1. Cunha, G.; Martins, M.R.; Sousa, R.; Oliveira, F.F. Estatística Aplicada às Ciências e Tecnologias da Saúde. Lídel: Lisboa, 2007.

2. Kirkwood, B., Sterne, J. Essentials of Medical Statistics. 2.nd edition. Wiley-Blackwell, 2001.

3. Pestana, M.H.; Gageiro, J.N. Análise de Dados para Ciências Sociais – A complementaridade do SPSS. 4.ª Ed., (Revista e Aumentada), Edições Sílabo: Lisboa, 2005.

4. Vet, H.C.; Terwee, C.B.; Mokkink, L.B.; Knol, D.L. Measurement in Medicine – Pratical Guide to Biostatistics and Epidemiology. Cambridge University Press, 7th Printing, United Kingdom, 2016.

5. Vidal, P.M. “Estatística prática para as ciências da saúde”. Lidel, Lisboa, 2005.

Bibliografia Secundária

1. Cardoso, S.M. Notas Epidemiológicas. Faculdade de Medicina: Coimbra; 1998.

2. Hall, A.; Neves, C.; Pereira, A. Grande Maratona de Estatística no SPSS. Escolar Editora: Lisboa, 2011.

3. Jewell, N.P. Statistics for Epidemiology – Texts in Statistical Science Series. Chapman & Hall/CRC. Washington, D.C., 2004.

4. Levin, J.; Fox, J.A. “Estatística para Ciências Humanas”, 9.ª Edição, Pearson/Prentice Hall, São Paulo, 2004.

5. Marôco, J. Análise Estatística com o SPSS Statistics. 5.ª Ed., Lisboa, 2012.

6. Mello, F.C.; Guimarães, R.C. Métodos Estatísticos para o Ensino e a Investigação nas Ciências da Saúde. Edições Sílabo: Lisboa, 2015.

7. Motulsky, H. “Intuitive Biostatistics – A Nonmathematical Guide to Statistical Thinking”. Completely Revised, Second Edition, Oxford University Press, New York, 2010.

8. Oliveira, A. G. Bioestatística Descodificada: Bioestatística, Epidemiologia e Investigação. 2.ª Ed., Lidel: Lisboa, 2014.

9.  Rosner, B. “Fundamentals of Biostatistics”. Sixth Edition, International Student Edition. THOMSON, Brooks/Cole, USA, 2006.

10. Sabin, C.; Petrie, A. “Estatística Médica” 2.ª Edição, Roca, São Paulo, 2007.

11. Santos, C. Manual de Auto-Aprendizagem – Estatística Descritiva, Edições Sílabo: Lisboa, 2007.