1st cycle of studies in Nutrition

Biostatistics3

Bioestatística

Curse code:9554301

Luís Francisco Alexandrino Proença

Learning outcomes of the curricular unit:
  • Formulate statistical hypotheses.
  • Select and apply appropriate statistical methods based on data and problem characteristics.
  • Interpret, discuss and recognize the limitations of statistical results.
  • Correctly synthesize statistical information of various types.
  • Understand and apply concepts of descriptive statistics and inferential statistical methods.
  • Critically select the most appropriate statistical procedures and interpret the obtained results.
  • Use specific software packages to perform statistical analysis.
Syllabus:

Lectures:

  1. INTRODUCTION
    Data organization.
    Fundamental concepts in statistics.
    Understanding inferential statistics.
  2. DESCRIPTIVE STATISTICS
    Sample statistics.
    Descriptive measures (location, dispersion and shape).
    Outliers.
  3. BIVARIATE ANALYSIS
    Variables crossing / association.
    Homogeneity and independence.
    Tests for adjustment and association.
    Correlation analysis.
  4. ESTIMATION OF PARAMETERS
    Random variables.
    Probability distributions.
    Estimators and estimation.
    Confidence intervals.
  5. HYPOTHESIS TESTING
    Methodology of statistical analysis (assumptions, applicability conditions, test statistics, decision, errors.
    Parametric tests.
    Validation of assumptions.
    Parametric analysis for one, two or more samples.
    ANOVA.
    Nonparametric tests.
    Non-parametric analysis for two or more independent and paired samples.
  6. REGRESSION ANALYSIS
    Linear regression.
    Quality of model adjustment.
    Inference for the linear regression model.
    Other regression models.
    Logistic regression.
  7. DATA ANALYSIS IN NUTRITIONAL SCIENCES
    Statistical designs for research.
    Statistical analysis methodologies.
    Applications examples.
Practical classes:
 
Resolution of practical examples of data management, organization and statistical analysis by using specific software packages.
 
Suggested Bibliography:
  • Callegari-Jacques SM (2003) Bioestatística: Princípios e Aplicações, Artmed. ISBN: 9788536300924
  • Dawson B & Trapp RG (2004) Bioestatística Básica e Clínica, McGraw-Hill. ISBN: 9788586804328
  • Marôco J (2011) Análise Estatística com o SPSS Statistics, ReportNumber. ISBN: 9789899676329
  • Díaz FR & López FJB (2006) Bioestatística, Thomson Pioneira. ISBN: 8522105391
 

Additional Info

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