Training
From SFI
Teaching helps to organize the teacher's thoughts. Mentoring the next generation of scientists is helpful both for them and for the mentors.
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
- We are happy to announce a BGC-Network course in
SURVIVAL AND EVENT HISTORY ANALYSIS
at the University of Oslo 19-23 March and 7-11 May 2012.
Deadline for application is February 1st, 2012.
For more details see here and at the course web-page.
- MF9570 - New statistical methods for causal inference
For registration etc see the web page
Passed courses (might be repeated later!)
- INLA course in Oslo November 10, held by Daniel Simpson from NTNU.
- INTRODUCTION TO INFECTIOUS GENETIC EPIDEMIOLOGY
At UiO, 7-11 November 2011
Target group: Ph.D. candidates at the University of Oslo and students at the Medical Student Research Programme will get first priority to the course. External applicants will be admitted if there are any available places.
Aim of the course: The course is intended to give an understanding of concepts and methods related to genetic epidemiology with focus on both familiy-related linkage analysis and population-based association studies.
Course contents: Basic concepts of genetic epidemiology, Introduction in PLINK and Merlin software, Population-based association studies, Parametric Linkage-Analysis
Course exam: A take home exam will be given at the end of the course. Grading: pass/fail.
Study points: 3
Place: Domus Medica, University of Oslo
Contact information and registration: adm-phd-emner@medisin.uio.no
Number of participants: maximum 30
- The Nordic Biostatistics Graduate Course Network is a collaboration between the universities of Stockholm, Oslo, Helsinki and Copenhagen, with the Universities in Newcastle and Gent also taking part in the collaboration.
Unfortunately the some of the planned courses in 2010-11 have been cancelled, but the network is now back in business and we are happy to announce the course:
STATISTICAL LEARNING AND BIOINFORMATICS
to take place at the University of Copenhagen this fall. The teaching period is September 5 to November 4. Lectures and exercises in Copenhagen take place in week 38 (September 19 to September 23) and week 41 (October 10 to October 14). For the remaining weeks there are preparation, homework exercises and individual projects.
DEADLINE FOR REGISTRATION IS SEPTEMBER 1ST.
For information on how to register and more information on the course, see the course web page.
At UiO, 4th - 5th April 2011
Final date for registration 1.2.2011.
A new short-course, given by one of the best lecturers in biostatistics, Professor Stephen Senn, University of Glasgow. Senn is one of the key scientists in pharmaco-statistics, with a long experience in both scientific and industrial research.
Research students (PhD and master), postdocs, UiO staff, but also non-UiO participants can join the course. Welcome!
The course will give an introduction to bioequivalence and non-inferiority trials, and the analysis of such. As more and more clinical trials are focused on showing equivalence rather than efficacy, this type of studies become more and more common and important. How do you set about showing significant same-ness? This course will introduce the field to the student, paying as much attention to practical matters and philosophical issues as to the mathematics. Some very elementary pharmacokinetic theory will also be covered since it is essential to understanding bioequivalence.
To follow this course you do not need knowledge in pharmaco-sciences. A basic understanding of clinical trials will be useful, and having covered an introductory course in statistics is a prerequisite.
Stephen Senn is author of three important books: Cross-over Trials in Clinical Research, Statistical Issues in Drug Development and Dicing with Death . He has contributed to many aspects of statistics that has to do with the pharmaceutical industry and drug development. Before being appointed professor in England and Scotland, Senn had many years experience as a leading statistician in the pharmaceutical industry in Switzerland and UK.
More information on the course is here: http://www.uio.no/studier/emner/medisin/med/MF9450/v11/program.html http://www.uio.no/studier/emner/medisin/med/MF9450/v11/
If you need more information, please contact Arnoldo Frigessi by email: frigessi@medisin.uio.no
Course leader: Arnoldo Frigessi, Department of Biostatistics, Institute Group of Basic Medical Sciences, University of Oslo.
Study points: 2
Place: Domus Medica, University of Oslo
Number of participants: 20
(sfi)² organises and supports courses and training occasions. Follow the links below for specific information. Most courses require a registration.
At UiO, 8th - 11th November 2010
Final date for registration 8th October.
Target group: Ph.D. candidates at the University of Oslo and students at the Medical Student Research Programme will get first priority to the course. External applicants will be admitted if there are any available places.
Aim of the course: The course is intended to give an understanding of concepts and methods related to analysis of SNP data in population studies. It will focus on basic concepts of genetic epidemiology, population genetics and statistical methods and tools needed for this kind of genetic data. The course is based on the PLINK software, a short introduction will be given.
Areas to be covered in the lectures include: Basic concepts of genetic epidemiology (Hardy-Weinberg equilibrium, haplotypes, linkage disequilibrium, tagSNP selection methods, SNP data quality control, study designs, population stratification), introduction in PLINK software, analysis of qualitative and quantitative traits (tests for contingency tables and regression models), Multifactorial Analysis of Genotypes ((logistic) regression, likelihood-ratio test), multiple testing problem and GenexGene Interaction (Epistasis).
Course exam: A take home exam will be given at the end of the course. Grading: Pass/fail.
Course leader: Bettina Kulle Andreassen, Department of Biostatistics, Institute Group of Basic Medical Sciences, University of Oslo.
Study points: 5
Place: Domus Medica, University of Oslo
Number of participants: 30
The University of Oslo Graduate School in Biostatistics
(www.med.uio.no/imb/stat/bioforsk) invites all PhD-students and postdocs in
biostatistics as well as their teachers and supervisors to a
- WORKSHOP AT KLÆKEN HOTELL 15-16 OCTOBER 2010
This year we will also invite phd-students in statistics and master-students in biostatistics to take part in the workshop.
The workshop will start at lunch time Friday October 15th and it will end around lunch time Saturday October 16th (with lunch included both days). Travel from Oslo and the stay at Klæken hotell (www.klaekken.no) will be covered by the Graduate School in Biostatistics.
At the workshop the Ph.D.-students will give a 10-15 minutes presentation of their ongoing research, the aim being to strengthen the professional communication between the combined group of Ph.D.-students and teachers/supervisors. Postdocs who want to present their work are also welcome to do so. In addition there will be a "forum lecture" by Anders Skrondal with the title "Introduction to covariate measurement error modelling". (One more forum lecture may be announced later.)
In order to facilitate the planning of the workshop and to put together a final program, I will need to know NO LATER THAN September 20th whether you want to take part in the workshop or not. For the PhD-students I also need to know the title of your presentation. For the postdocs I need to know if you want to present your work at the workshop, and if so, the title of your presentation.
I hope that you will all take part in the workshop!
All the best,
Ørnulf Borgan (director of the Graduate School in Biostatistics)
- The University of Oslo Graduate School in Biostatistics is a joint activity of three
departments at the University of Oslo and collaborating centres. The graduate school hereby announces a three days course on
APPLIED LONGITUDINAL DATA ANALYSIS
The course will take place at the University of Oslo, 11th-13th August 2010. The lecturers at the course are Sophia Rabe-Hesketh and Anders Skrondal.
Students from the collaborating departments as well as others are welcome to take part in the course. Deadline for application is 1 July 2010.
Detailed information is given below. Updated information will be provided at the course web-page: www.math.uio.no/biostatistics/course-august10.html
Brief course description:
A three-day course on longitudinal data analysis for continuous and discrete responses.
The emphasis will be on multilevel modelling (also called hierarchical and mixed
modelling) of longitudinal and panel data. Other approaches such as fixed-effects
modelling, marginal modelling, generalized estimating equations (GEE), and "dynamic
modelling will also be discussed. The course consists of a mix of lectures and
practical exercises. The applications and exercises will be based on the Stata software
which is extremely powerful for longitudinal data analysis yet easy to use.
Presenters: The lecturers at the course are Sophia Rabe-Hesketh (University of California, Berkeley and University of London) and Anders Skrondal (Norwegian Institute of Public Health and University of Oslo). They have written many books, papers and chapters on longitudinal data analysis, and they have taught successful courses on multilevel and longitudinal modelling at Berkeley and the London School of Economics as well as many short-courses worldwide.
Credits and knowledge control: A project exam will be given after the course. For those who complete the project exam, the course will give 3 ECTS credit points. (The Graduate School in Biostatistics cannot guarantee that these credits points are accepted by a specific masters- or PhD-program. That is up to each program to decide.)
Course layout and time schedule: The course consists of a total of 18 hours of lectures and exercises. The time schedule for each days is: 09.15-12.00 Lectures and exercises 12.00-13.00 Lunch break 13.15-16.00 Lectures and exercises
Application: Applications should be sent by email to Ørnulf Borgan (borgan@math.uio.no) no later than June 15th, 2010. Please, provide the following information: • Name • Email address • Affiliation • Information on attained degrees and courses The number of participants at the course is limited to 25 students. In case of overbooking students from the departments participating in the Graduate School will be given priority.
Prerequisites:
As prerequisite for the course is a minimum of 80 ECTS credits in mathematics and
statistics is suggested, including probability theory, statistical inference and the
theory of linear models.
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.)
