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Biostatistics
Scholar Year: 2020/2021
| Code: |
LICAC16 |
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| Acronym: |
BIOE |
| Scientific area: |
Ciências Fundamentais |
| Section/Department: |
Social and Human Sciences |
| Term: |
1st Semester |
Courses
| Acronym |
N. of students |
Study Plan |
Curricular year |
ECTS |
Contact hours |
Total Time |
| LA |
9 |
|
2º |
3,0 |
60 |
81,0 |
Teaching language
Portuguese
Intended learning outcomes (Knowledges, skills and competencies to be developed by the students)
It is intended that at the end of this course the student is able to:
• Understand concepts of descriptive and inferential statistics and to articulate it with specific research
problems in the field of health;
• Apply methodologies of descriptive and inferential statistics to the study of populations based on sample
data;
• Develop skills related to treatment and analysis of quantitative data with IBM SPSS software.
Syllabus
1. Variables, populations and samples
2. Measures of central tendency, dispersion, asymmetry and kurtosis
3. Creation of data bases and exploratory data analysis
4. Inferential Statistics
5. Counts and proportions comparisons:
6. Binomial and chi-square tests
7. Parametric tests for comparing independent samples:
8. Assumptions: Kolmogorov-Smirnov and Shapiro-Wilk, Levene
9. t-Student tests for one and two population means
10. One-Way analysis of variance and post hoc tests
11. Nonparametric tests for comparing independent samples:
12. Wilcoxon test for one population median
13. Wilcoxon-Mann-Whitney test
14. Kruskal-Wallis Rank Sum Test
15. Parametric and Nonparametric tests for comparing paired samples:
16. t-Student and Wilcoxon tests
17. Association and correlation measures:
18. Cramer’s V and Phi coefficients
19. Spearman and Pearson coefficients
Demonstration of the syllabus coherence with the UC intended learning outcomes
In this curricular unit students are expected to develop theoretical knowledge and practical skills allowing
them to understand and apply statistics concepts to health research problems. Hence, the course begins
by emphasizing theoretical concepts that will be the basis for any process of statistical analysis, namely
variables, populations and samples, theoretical distributions, estimation and decision theories.
Subsequently, a group of statistical tests is presented. The study of these statistical tests, which is
complemented with the use of IBM SPSS software, allows for the analysis of specific research problems.
The theoretical and practical nature of this course thus gives students the possibility to: understand
statistics concepts applied to research problems they have to deal with; and develop skills related to the
use of IBM SPSS tools on treatment and analysis of quantitative data.
Teaching methodologies
Various teaching methodologies are used in this course, namely expository method, large group
discussion about theoretical concepts and resolution of practical cases in small groups. The practical
cases are solved in class with the aid of IBM SPSS software and by taking into account the theoretical
contents. The solutions to the first practical cases are projected on screen as students try to solve them,
so that they may follow more easily.
In this course students are exempt from sitting a final exam if they get a minimum grade of 10 on the
evaluations taking place during the module.
Demonstration of the teaching methodologies coherence with the curricular unit's intended learning outcomes
The teaching methodologies are articulated with the expected learning goals of this course in the following
way:
. To understand descriptive and inferential statistics concepts and to articulate them with specific research
problems in the field of health - expository method and large group discussion;
. To apply descriptive and inferential statistics methods to the study of populations from sample data -
resolution of practical cases applied to concrete research problems in small groups with supervision of
teacher;
. To develop skills related to the treatment and analysis of quantitative data with IBM SPSS software - use
of IBM SPSS software tools in the resolution of practical cases applied to concrete research problems in
health in small groups and with supervision of teacher.
Various theoretical and practical methodologies are thus used in order to promote students' acquisition of
theoretical concepts as well as their application to specific research problems involving quantitative data
analysis with IBM SPSS software.
Assessment methodologies and evidences
Assessment instruments are:
a) Assignment of a quantitative practical case to be solved in small group – weight: 0,35;
b) Individual written test – weight: 0,65.
If students fail in this evaluation, or if they miss it, they have the chance to take a written test in final exams
(100% of final grade).
Attendance system
Classes follow the model theoretical and practical, thus students have an attendance system in accordance with IPS rules
Bibliografia
Daniel, W. W. (2005). Biostatistics: A Foundation for Analysis in the Health Sciences. Hoboken, NJ: John
Wiley & Sons, Inc.
Field, A. (2009). Discovering statistics using SPSS. Sussex: Sage Publications.
Gouveia de Oliveira, A. (2009). Bioestatística, epidemiologia e investigação: teoria e aplicações. Lisboa:
Lidel.
Maroco, J. (2011). Análise estatística com utilização do SPSS Statistics. Lisboa: Report Number.
Murteira, B., Ribeiro, C.S., Andrade e Silva, J. e Pimenta, C. (2002). Introdução à Estatística. Lisboa:
McGraw-Hill.
Pereira, A. (2008). Guia prático de utilização do SPSS: análise de dados para ciências sociais e psicologia.
Lisboa: Edições Sílabo.
Pestana, H. & Gageiro, J. (2008). Análise de dados para ciências sociais: a complementaridade do SPSS.
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