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DTSTAMP:20260711T101631Z
UID:7888b9ff-5f57-4e64-b43e-0ca80b63afb8
DTSTART:20170910T230000Z
DTEND:20170910T230000Z
DESCRIPTION:This is one of our "Foundations" type courses\, providing a sys
 tematic and detailed review of fundamental concepts and techniques in Bios
 tatistics. Participants can expect to go through a set of exercises that a
 re based on biomedical problems. These exercises are preceded by short lec
 tures that are simple to follow. The lectures are designed to provide the 
 conceptual framework that is needed to release the training power of the e
 xercises\, not to flood the participants with formality\, which will be ke
 pt to a minimum. We will make use of a highly interactive methodology\, ta
 king advantage of our well equipped Bioinformatics training room. With thi
 s approach\, we expect to bring the participants to a high degree of usage
  independence in using the methods that we cover.\nMain topics: Descriptiv
 e Statistics\; Probability\; Statistical Inference\; Design of Experiments
 .\nTarget Audience:\nMost participants must have had one or more semester 
 courses in Statistics in their graduate education. For some\, learning Sta
 tistics has happened a long time ago\, and that makes it difficult to go b
 ack and manipulate the concepts with full confidence. For others\, school 
 days were just a while ago\, but using that knowledge represents a serious
  effort.\nOpening a Statistics handbook\, when you want to use Statistics 
 righ away\, is usually a painful experience\, as concepts often show a les
 s than obvious interdependence. Attending this course is a chance of revis
 iting those subjects in a systematic way\, through a series of hands-on ex
 ercises\, in a workflow that brings-in the skills in a seamless way.\nCour
 se Pre-Requisites:\nBasic knowledge in Statistics is handy.\nElementary sk
 ills in computer usage are needed.\nBasic Familiarity with the R environme
 nt will be necessary. Please follow the exercise that we provide. Install 
 R from http://cran.r-project.org/ following the instructions. Download a
 nd unzip the Tutorial folder that is made available here.\nThen:\nVisuali
 ze the slides in "Tutorial R.pdf"\nFollow the exercise in "Basic_Exercise.
 pdf"\nFor reference\, we also provide a script with a correct set of R sta
 tements in sequence "Tutorial_script.R"\nInstructors:​\n          
  \nAna Luísa Papoila holds a degree in Mathematics (Probability and Sta
 tistics) from the Faculdade de Ciências da Universidade de Lisboa (FCUL)\
 , a Master of Science in Statistics and Optimization\, from the Faculdade 
 de Ciências e Tecnologia da Universidade Nova de Lisboa (UNL) and a PhD i
 n Statistics and Operational Research\, in the field of Probability and St
 atistics\, from the FCUL in 2006. Since then\, she is an Assistant Profess
 or in the NOVA Medical School / Faculdade de Ciências Médicas of UNL whe
 re she coordinates and teaches several undergraduate and postgraduate cour
 ses in Biostatistics. Her main areas of research interest are Applied Heal
 th Statistics and Epidemiology. She is an integrated member of the Centro 
 de Estatística e Aplicações da Universidade de Lisboa (CEAUL) since 200
 7. She is also responsible for the area of statistics of the Division of S
 tatistics and Epidemiology from the Research Center of Centro Hospitalar d
 e Lisboa Central. In GTPB\, she has been an instructor of the IBSTAT serie
 s\, since 2014.\n           Affiliation: NOVA Medical School / Facu
 ldade de Ciências Médicas of UNL\, Lisboa\, PT\n \nMaria Fernanda Diama
 ntino is an Assistant Professor at the Faculdade de Ciências da Universi
 dade de Lisboa (FCUL) where she teaches since 1989. She obtained a Master 
 of Science in Probability and Statistics (in the epidemiology area) and he
 r PhD in Probability and Statistics in 2008\, both at FCUL. Over the years
 \, she has taught several undergraduate statistical courses in various are
 as\, for example\, biology\, chemistry\, geology\, mathematics and informa
 tics. She is a collaborator member of the Centro de Estatística e Aplica
 ções da Universidade de Lisboa (CEAUL). She has been focusing her intere
 sts in biostatistics and applied health statistics and has taught postgrad
 uate courses in those areas. In GTPB\, she has been an instructor of the I
 BSTAT series\, since 2014. \n           Affiliation: Faculdade de 
 Ciências da Universidade de Lisboa\, Lisboa\, PT\n \nProgram:\nYou can f
 ind here the detailed program.\n \nRegistration: \nRegister using here 
 until August the 30th\n \nContact: For any questions about this course\, 
 please contact Pedro Fernandes (e-mail address below)
LOCATION:Instituto Gulbenkian de Ciência
SUMMARY:IBSTATB17  - Introductory Biostatistics for Biologists
URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/IBSTATB17/
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