POSTPONED - Life event history analysis: Two days seminar in honour of Professor Ørnulf Borgan's 70th anniversary in 2020

We invite you to a two-day seminar celebrating Professor Ørnulf Borgans many and substantial contributions to statistics in general and life event history analysis in particular. The seminar takes place in Auditorium 2 in Helga Engs House, Blindern Campus, University of Oslo, from Monday May 25th 11:00 to Tuesday May 26th, 14:00, 2020. The seminar has been postponed due to the corona-epidemics. We will announce a new date as soon as possible.

For the seminar we have invited several of Ørnulf's key collaborators to give talks. We hope many other colleagues, students and friends will participate in this celebration of Ørnulf and his outstanding career as Professor of Statistics at the University of Oslo.

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The seminar has been postponed due to the corona-epidemics. We intend to set it up again as soon as possible. 

 

 

The list of contributers with preliminary titles is as follows:

Per Kragh Andersen,  Univ. Copenhagen: Bivariate pseudo-observations for recurrent events with competing risks

Richard Gill, Univ. Leiden: Correlation vs causality in the face of feedback effects in life-time data

Robin Henderson, Univ. Newcastle:  Random Cancers as Supported by Data

Niels Keiding, Univ. Copenhagen: Rubin and Westergaard's pioneering study (1890) on nuptiality and fertility according to social gradients: innovative use of the census form and early examples of indirect standardization.

Ruth Keogh, London School of Hygiene and Tropical Medicine: Estimating the effect of treatment on survival when everyone is treated

Bryan Langholz, Univ. Southern California: Sampling design-specific absolute risk estimation from nested case-control studies.

Bo Lindqvist, NTNU: Phase-type models and their extension to competing risks

Håkon Gjessing, FHI/UiB: TBA          

Nils Lid Hjort, Univ. Oslo: The partly parametric and partly nonparametric  additive risk model

Riccardo De Bin, Univ. Oslo: First-hitting-time models for high-dimensional data: A statistical boosting approach

Håvard Kvamme, Univ. Oslo: Time-to-Event Prediction with Neural Networks

Tonje Lien, Oslo Univ. Hospital: Data integration through tailored regularisation in high dimensional regression and graph estimation

Odd Aalen, Univ. Oslo: Causal inference in survival analysis: Challenges and difficulties.  

Sven Ove Samuelsen, Univ. Oslo: Ørnulf Borgan and his contribution to life event history analysis

Published Jan. 21, 2020 10:59 AM - Last modified Mar. 18, 2020 2:09 PM