Training
From SFI
University of Oslo Graduate School in Biostatistics
The University of Oslo Graduate School in Biostatistics is an inspiring and productive environment on a high international level for the training of a new generation of biostatistical researchers. The school provides Ph.D.-students with a broad range of courses and workshops in statistics and biostatistics, in order to give them the breadth and depth of knowledge needed to meet the challenges of modern biostatistics.
The graduate school builds on the Ph.D.-programs at the Faculty of Mathematics and Natural Sciences and the Faculty of Medicine at the University of Oslo, and it operates as a joint activity of researchers from different departments and collaborating research groups. The school has staff and students at the Division of Statistics at the Department of Mathematics, the Department of Biostatistics at the Institute of Basic Medical Research, the Biomedical research group at Department of Informatics, and Norwegian Computing Center. Most of the staff and students are affiliated with Statistics for Innovation and with the centre for Biostatistical Modelling in the Medical Sciences.
The web page of the graduate school
Training and Courses
Passed courses (might be repeated later!)
(sfi)² organises and supports courses and training occasions. Follow the links below for specific information. Most courses require a registration.
At UiO, 18-20 November 2009
Target group: Ph.D. students in medicine or biology, or medical and public health care professionals, veterinary scientists, medical statisticians, and others with interest in infectious disease modelling. Specialist mathematical training is not a prerequisite.
Aim of the course: The course is intended to give a conceptual understanding of the basic techniques available for analysing and interpreting epidemiological data on infectious diseases. The course should provide the participants the background for reading and interpreting modelling papers.
Course contents: The course will be divided between lectures and group sessions. In the group sessions emphasis will be on reading and discussion of relevant modelling papers, including calculation of simple epidemiological parameters.
Areas to be covered in the lectures include: An introduction to compartmental models, exemplified by the Susceptible-Exposed-Infected-Recovered (SEIR) model; presentation of fundamental epidemiological concepts such as the basic reproductive rate (R_0), endemic infections and vaccination policies; impact of population structure and human contact patterns on the transmission dynamics of infections; stochastic models; emerging infections with focus on design of intervention programmes.
Course exam: A take home exam will be given at the end of the course. Grading: pass/fail.
Course committee: Birgitte Freiesleben de Blasio, Ottar Bjørnstad, Odd O. Aalen, Department of Biostatistics, Institute Group of Basic Medical Sciences, University of Oslo.
Study points: 3
Place: Domus Medica, University of Oslo
Contact information and registration: synneve.ovsthus@medisin.uio.no
Number of participants: 30
At the University of Oslo 12-16 October and 9-13 November 2009.
Deadline for application 15 September
See the course web-page for details.
At UiO, 27.-29. April 2009
See this page for information.
Deadline for application: April 1, 2009.
BMC-course. Statistical learning and bioinformatics, University of Copenhagen, 2009. Teaching period is April 20 to June 19. Lectures and exercises in Copenhagen take place in the two periods April 27 to May 1 and May 25 to May 31.
- INTRODUCTION TO INFECTIOUS DISEASE MODELLING
At UiO, 12-14 november 2008
For program and more info, see the course web page.
INFORMATION
Target group: medical and public health care professionals, veterinary scientists, medical statisticians, and others with interest in infectious disease epidemiology. Specialist mathematical training is not a prerequisite.
Aim of the course: The course is intended to give a conceptual understanding of the basic techniques available for analysing and interpreting epidemiological data on infectious diseases. The course should provide the participants the background for reading and interpreting modelling papers.
Course contents: The course will be divided lectures and group discussions of relevant modelling papers, including calculation of simple epidemiological parameters.
Areas to be covered in the lectures include: An introduction to compartmental models, exemplified by the Susceptible-Exposed-Infected-Recovered (SEIR) model; presentation of fundamental epidemiological concepts such as the basic reproductive rate of infection (R_0); endemic infections and vaccination policies; impact of population structure and human contact patterns on the transmission dynamics of infections; stochastic models; emerging infections with focus on design of intervention programmes. In the group discussion we will discuss how to calculate the basic reproductive rate, vaccine scare and impact of vaccine coverage on infectious disease development, and we will look at influenza strain drift.
Course exam: A take home exam will be given at the end of the course.
Course committee: Birgitte Freiesleben de Blasio, Ottar Bjørnstad, Odd O. Aalen, Department of Biostatistics, Institute Group of Basic Medical Sciences, University of Oslo.
Study points: 3
Place: Domus Medica, University of Oslo
Registration to: Kontor for legers videre- og etterutd (Oslo), Den norske legeforening, Postboks 1152 Sentrum, 0107 OSLO.
Registration by e-mail: kurs.oslo@legeforeningen.no
Number of participants: 30
Number of hours: 20
Course literature: Supplementary reading notes and papers for complementing the lectures will be distributed.
Cost for medical doctors: 1600
- Graphical and Causal Modelling in Genetics and Epidemiology
At UiO, June 11-13, 2008. The fascinating idea of Mendelian randomization has in recent years emerged as a potentially important tool in epidemiology. Could the absence of designed randomization in epidemiology be substituted by nature’s own randomization? This and other timely subjects are taken up in the present course. The main statistical methods presented belong to the area of graphical models, which is a tool for describing the relationship between variables, genes and other entities in genetics and epidemiology. Such models are increasingly used due their nice representation of statistical relationships, and the insights one may get from them. They provide a natural general framework for expressing and manipulating many important concepts. Genetic mapping and pedigree uncertainty can all be handled in this context, as can issues of causal inference and identification of regulatory networks. There is a close relationship between graphs and causal thinking. Hence, causal modelling will also be a major topic in the course. In addition to its relationship to graphical models, causal modelling will also be introduced in a broader sense, including counterfactual and structural models.
Teachers:
Vanessa Didelez, Dept. of Mathematics, University of Bristol
Nuala Sheehan, Dept. of Health Sciences, University of Leicester
For more details, see the Programme of the course.
Registration by email to Jon Michael Gran <j.m.gran@medisin.uio.no> within April 10th, 2008. The number of participants is limited. Please include brief information on your institutional affiliation and professional background. Basic knowledge of statistics is required. An agreement concerning study points will be made.
The course fee is 2500,- NOK, including a light lunch every day. A bill for the fee will be sent to you after registration.
Organizers:
Thematic research area BMMS: http://www.med.uio.no/imb/stat/bmms/
Statistics for Innovation (sfi)²: http://sfi.nr.no/
- Multiple hypothesis testing - theory and applications to genomics.
At UiO, from 28.02.2008 to 29.02.2008. The University of Oslo Graduate School in Biostatistics announces a two days course on Multiple hypothesis testing - theory and applications to genomics. The lecturer at the course is associate professor Mette Langaas from The Norwegian University of Science and Technology (NTNU) in Trondheim. Students from the collaborating departments as well as others are welcome to take part in the course. A project exam will be given after the course. For those who complete the project exam, the course will give 2.5 ECTS credit points. Deadline for application is 1 February 2008. More information.
- Statistical methods and bioinformatics for the analysis of microarray data.
At UiO, from 23.11.2007 to 03.12.2007. This course is intended for Ph.D. students, postdocs and researchers in genetics, molecular biology, biology, medicine, bioinformatics, biochemistry and statistics, with interest in the statistical analysis of micorarray data. Instructors: Professor Arnoldo frigessi, dr. Bettina Kulle and Egil Ferkingstad from (sfi)² and Universitetet i Oslo; Anja von Heydebreck (Bio-&Chemioinformatics, Merck KGaA, Darmstadt, Germany), together with her collegues from the NGFN (German National Genome Research Network); Marit Holden and Anders Løland, Norsk Regnesentral. Studiepoeng: 6. Påmeldingsfrist: 23. september 2007 More information and registration. WEBPAGE OF Statistical methods and bioinformatics for the analysis of microarray data.: Click here.
- Bayesian STK4520 - Finans- og forsikringsmatematisk laboratorium.
Starts August 2007. This is a master course offered at the Department of Mathematics of UiO. Studiepoeng: 10. The course is in Norwegian. Høsten 2007 er vi tre forskere fra Norsk Regnesentral (NR) som sammen skal ha ansvaret for STK 4520. Kurs er organisert i tre hovedanvendelser: Forsikring (liv og skade), finansielle tidsrekker (aksjer, renter, valuta) og energi (strøm, olje, gass). Høsten 2007 vil mye av undervisningen og mange av "casene" vi skal studere være hentet fra eller inspirert av prosjekter vi har jobbet med på NR. Dette betyr at valget av problemstillinger og metoder er motivert ut fra behov i norsk næringsliv. Flere av datasettene vi skal jobbe med kommer også fra disse prosjektene. UiO description of STK4520 See also here for more information.
- Nordic Biostatistics Master Course Network (Nordic BMC Network) 2007-2009
At UiO and in Europe! Under a Nordplus programme, starting Fall 2007, the Universities of Stockholm, Oslo, Helsinki and Copenhagen jointly organize a set of Master level courses in Biostatistics. Statistics for Innovation, the Universities in Newcastle and Gent also take part in this collaboration. Master- and Phd-students from the collaborating universities as well as from other universities are welcome to take part in the courses. Five courses are scheduled for 2007-2009:
- Oslo Fall 2007: Survival and event history analysis - Stockholm Spring 2008: Population genetics and gene mapping - Gent Spring 2008: Causality and missing data - Helsinki Fall 2008: Spatial analysis of area data - Copenhagen Spring 2009: Statistical learning and bioinformatics
Application deadline is 3 September 2007 for the course in Oslo. Under the Nordplus programme Nordic students pay no tuition fees. Students from other countries pay a nominal tuition fee at registration. More information under Application, registration and costs. Costs for student travel and accommodation are not covered by the network programme, and each student should organize his or her own travel and accommodation. However (sfi)2 students will be covered in all their expenses. See here for more information.
孔子說﹕“三人行﹐必有我師”
(Among three walking people, at least one will be able to teach you something; a Confucius saying.)
