PT|EN
Technical Experiences and Research Planning
Courses Master's Degree in Biostatistics and Biometry
Cod: 22240
Department: DCET
ECTS: 10
Scientific area: Statistics
Total working hours: 260
Total contact time: 40

It is intended that at the end of this course the student acquires skills to allow him/her to be able to identify and select appropriate sampling strategies to experimental situations in each case, and to recognize the advantages and disadvantages of the effective choice.
The student will show proficiency in generating relevant hypotheses in response to issues raised in scientific research and in selecting the appropriate experimental design type, and to proceed with the correct interpretation of results.

At the end of this course students should have acquired skills that enable:
- Recognize the importance of Experimental Design and application of methodologies in various fields of science.
- Identify basic principles to achieve a good design
- Research and develop critical sense in the selection of designs and interpretation of results.
- Know and apply the actual data using the main sampling techniques
- Identify the main linear models and adjust them to know the real problem.
- Know how to use and interpret the main ANOVA techniques and undertake analysis of contrasts.
- To apply Response Surface Methodology in modeling and analysis of optimization problems.
- Dealing with software suitable for data analysis in experimental design, including language R.

 
1. Relevance and Historical Review of Experimental Design
2. Research: Issues, Goals, Assumptions and Design Management
3. Challenges on the Approach to Real Data
4. Sampling techniques: Simple, by elements and Groups
5. Introduction to Linear Models
6. ANOVA models and Inference
7. Factorial Designs
8. Technical Levels comparison and estimation of Contrasts
9. Response Surface Methodology
 

[1] Forthofer,R.N., Lee, E.S., Hernandez, M., Biostatistics: A Guide to Design, Analysis and Discovery, 2nd Ed., Academic press, 2007
[2] Johnson, P. O., Modern Sampling Methods: Theory, experimentation, Applications, Textbook Puvblishers, 2003
[3] Montgomery, D.C., Design and Analysis of Experiments, 7th Ed., Wiley, 2009
[4] Oliveira, T.A., Estatística Aplicada, Edições Universidade Aberta, 287, 2004
[5] Quinn, G.P., M.J.Keough, Experimental Design and Data Analysis for Biologists, Cambridge University Press, 2002
[6] Sousa, M.F.F., Amostragem: Uma introdução, Edições Universidade Aberta, 253, 2002

Evaluation is made on individual basis and it involves the coexistence of two modes: continuous assessment (60%) and final evaluation (40%). Further information is detailed in the Learning Agreement of the course unit.

Pre-requisites: Not applicable
Additional support materials will be available on e-learning platform.