Biostatistics
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:
- INTRODUCTION
Data organization.
Fundamental concepts in statistics.
Understanding inferential statistics. - DESCRIPTIVE STATISTICS
Sample statistics (location, dispersion and shape).
Outliers. - VARIABLES CROSSING / ASSOCIOATION
- ESTIMATION OF PARAMETERS, RANDOM VARIABLES, DISTRIBUTIONS AND CONFIDENCE INTERVALS
- HYPOTHESIS TESTING
Methodology of statistical analysis (assumptions, applicability conditions, test statistics, decision, errors).
Statistical designs for research / tests application.
Parametric tests.
Nonparametric tests. - REGRESSION ANALYSIS
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