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Class Biostatistics

  • Code

    Code

    ULHT1101-2193
  • Syllabus

    Syllabus

    History of Statistics Probability Algebra of events Probability concept Simple/conditional probabilities Descriptive statistics. Frequency Tables Types of variables Parameters of a distribution and related statistics Statistical inference Design of studies The hypothesis test and the null hypothesis (H0). Timely and/or interval estimation (confidence intervals) Choice of statistical test. Parametric hypotheses testing Student's t test Analysis of Variance: a factor and two factors Adjustment quality tests: Chi-square and Kolmogorov-Smirnov. Nonparametric hypotheses testing Reference to the Mann-Whitney test, Kruskal-Wallis and Wilcoxon test for ordinal variables, and McNemar's test for nominal variables Tables of contingency Analysis of contingency tables Tests of independence Covariance. Correlation. Linear regression. Pearson's correlation coefficient. Dispersion diagram. Method of least squares
  • Objectives

    Objectives

    The Biostatistics course aims to raise students' awareness of the possibility of statistical treatment of problems  essential to the development and application in various areas of knowledge. The Biostatistics course aims to provide students with statistical tools that will enable them to learn and assimilate concepts in subsequent courses within the degree. At the same time, it is intended that students develop methods of reasoning and have experience with experimental planning and problem solving that they will normally face, regardless of the subjects taught.
  • Teaching methodologies

    Teaching methodologies

    The teaching-learning methodologies include various instruments, based on masterly/tutorial teaching and theoretical-practical, face-to-face teaching. Other non-face-to-face instruments (e.g. Moodle) complete and diversify the options available. The theoretical-practical classes aim to deepen and practice the topics taught in the theoretical classes, thus providing more direct contact with these topics. The assessment system is preferably continuous and consists of 2 written tests (45% each). Attendance at theoretical-practical classes and participation in solving the proposed exercises count towards the final grade, contributing 10%.   The final exam system applies to students who opt for it, students who fail the continuous assessment, and those who request a grade improvement, covering the entire syllabus
  • References

    References

    Motulsky, H. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 4th edition, Oxford University Press, 2018, 9780190643560. Martins M. E. G, Introdução à Probabilidade e Estatística com complementos de Excel. Departamento de Estatística e Investigação Operacional da FCUL, Sociedade Portuguesa de Estatística, 2005. https://www.spestatistica.pt/publicacoes/publicacao/introducao-probabilidade-e-estatistica. Proença I. M. , Estatística , Lisboa: Euedito, 2010. ISBN 978-989-20-2136-2. Cordeiro N., Magalhães A., Introdução à Estatística: Uma Perspectiva Química, LIDEL- Edições Técnicas Lda, Lisboa, 2004. ISBN: 978-972-757-276-2.
  • Assessment

    Assessment

    O regime de avaliação é preferencialmente de carácter contínuo e constituído por 2 testes escritos (45% cada). A presença nas aulas teórico-práticas bem como a participação na resolução dos exercícios propostos são contabilizados para a nota final, contribuindo com 10%.

    O regime de exame final aplica-se aos estudantes que por ele optem, para os estudantes que não tiverem aproveitamento na avaliação continua e para os que requereram melhoria de nota, abrangendo a totalidade do programa.

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