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IBSTATB16 Introductory Biostatistics for BiologistsDownloadable poster in PDF |
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IMPORTANT DATES for this Course
Candidates with adequate profile will be accepted in the next 72 hours after the application, until we reach 20 participants. |
Instructors: |
Cristina Rocha is an Assistant Professor at the Faculdade de Ciências da Universidade de Lisboa (FCUL), where she teaches since 1982. She holds a degree in Mathematics (1982), a MSc in Probability and Statistics (1986), both obtained at FCUL, and a PhD in Statistics and Computation, in the field of Probability and Statistics (1995), conferred by the Universidade de Lisboa. Over the years, she has coordinated and taught several undergraduate and postgraduate statistical courses and has supervised several PhD and MSc students. Her main areas of interest in research are survival analysis and statistics in health sciences. She was an integrated member of the Centro de Estatística e Aplicações da Universidade de Lisboa (CEAUL) up to 2014 and is currently a collaborator member of the CEAUL. |
| Affiliation: Faculdade de Ciências da Universidade de Lisboa, Lisboa, PT |
Maria Fernanda Diamantino is an Assistant Professor at the Faculdade de Ciências da Universidade de Lisboa (FCUL) where she teaches since 1989. She obtained a Master of Science in Probability and Statistics (in the epidemiology area) and her PhD in Probability and Statistics in 2008, both at FCUL. Over the years, she has taught several undergraduate statistical courses in various areas, for example, biology, chemistry, geology, mathematics and informatics. She is a collaborator member of the Centro de Estatística e Aplicações da Universidade de Lisboa (CEAUL). She has been focusing her interests in biostatistics and applied health statistics and has taught postgraduate courses in those areas. In GTPB, she has been an instructor of IBSTAT14. |
| Affiliation: Faculdade de Ciências da Universidade de Lisboa, Lisboa, PT |
Course description |
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This is one of our "Foundations" type courses, providing a systematic and detailed review of fundamental concepts and techniques in
Biostatistics. Participants can expect to go through a set of exercises that are based on biomedical problems. These exercises are preceded
by short lectures that are simple to follow. The lectures are designed to provide the conceptual framework that is needed to release the training power
of the exercises, not to flood the participants with formality, which will be kept to a minimum. We will make use of a highly interactive methodology,
taking advantage of our well equipped Bioinformatics training room. With this approach, we expect to bring the participants to a high degree of usage
independence in using the methods that we cover. Main topics: Descriptive Statistics; Probability; Statistical Inference; Design of Experiments. See the Detailed Program . |
Target AudienceMost participants must have had one or more semester courses in Statistics in their graduate education. For some, learning Statistics has happened a long time ago, and that makes it difficult to go back and manipulate the concepts with full confidence. For others, school days were just a while ago, but using that knowledge represents a serious effort.Opening a Statistics handbook, when you want to use Statistics righ away, is usually a painful experience, as concepts often show a less than obvious interdependence. Attending this course is a chance of revisiting those subjects in a systematic way, through a series of hands-on exercises, in a workflow that brings-in the skills in a seamless way. |
Course Pre-requisitesBasic knowledge in Statistics is handy.Elementary skills in computer usage are needed. Basic Familiarity with the R environment will be necessary. |
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Detailed Program |
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Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal Last updated: Oct 6th 2016 |