Center for Interdisziplinary Research
 
 

Survival of the Fittest

Statistical Time to Event Analysis in Economics and Related Fields

Date: June 24 - 26, 2004
Scientific Organizers: Göran Kauermann (Bielefeld), Vicente Núńez-Antón (Bilbao)

The workshop was aiming at bringing together scientists working in the fields of duration time modelling and survival analysis. There are two larger groups of people working in these fields. On the one side these are econometricians, where for instance in unemployment research the analysis of duration of unemployment is a primary focus. A second group of scientists working with and in survival time modelling are biostatisticians, where for instance survival time of patients in clinical trials is the variable of interest.
Over the last years, both disciplines have developed their own vocabulary to describe new technologies and modelling aspects. This was the first lesson to be learnt by the participants. But not only are different terms in use for nearly the same objects, the principals of modelling are different in the two fields. In econometrics one aims at using duration time models to answer political questions or to provide background knowledge for political decisions. This makes the models rather complex on the one hand, but simplistic on the other hand as well. This is vice versa for the biostatistical approach. Here models are designed to answer medical or biological questions. This discrepancy became obvious during the meeting.
The workshop was designed such that biostatistical and econometric talks were grouped together to show participants the full contrast. Each session was accompanied by a detailed 'round table discussion'. This was the forum for understanding the different way of thinking and the intention of different developments. More importantly, however, scientists started collaborating and understanding the other side. The workshop was a good start and the original aims of the workshop could be fulfilled.

Contributions

Hans von Houwelingen, Frailties and Competing risks
Ivan Iachine, Frailty models for genetic analysis of survival data
Renate Meyer, Bayesian Semiparametric Modelling of Stratifed Survival Data using Mixtures
Gerard van den Berg, Treatment evaluation when the outcome is a duration variable
Juan Rodriguez-Poo, Semiparametric Approaches in Duration Models
Gerd Ronning, Estimation of Models With Censoring or Truncation From Masked Data
Philip Hougaard, Frailty models for bivariate data as well as recurrent events data
Jan Beyersmann, Expected change in waiting time associated with an intermediate event
Ronghui Xu, Assessing Proportional Hazards Assumption under the Mixed Effects Model
Jaap Abbring, Event-History Analysis of the Effects of Asymmetric Information in Insurance Markets
Michael Svarer, Estimating The Threat Effect of Active Labour Market Policies
Göran Kauermann, Mixed Models in Survival Analysis
Thierry Kamionka, ACD and Log-ACD Models : A Generalization Taking Into Account Intermediate Events Arrivals With an Application to the Mid-Price Duration on Euronext Paris
Vicente Núńez-Antón, Alternative regression models for censored data. From the PH model to the modified semiparametric AFT model
Gilbert MacKenzie, Non-PH Multivariate Survival Models and h Likelihood Estimation

Participants

Jaap A. Abbring (Amsterdam), Gerard J. van den Berg (Amsterdam), Ursula Berger (Berlin), Jan Beyersmann (Freiburg i. Br.), Denise Brown (Glasgow), Ralph Crott (Brüssel), Gudrun Freitag (Göttingen), Jutta Gampe (Rostock), Philip Hougaard (Valby), Hans van Houwelingen (Leiden), Ivan Iachine (Odense), Simona Iacobelli (Rom), Thierry Kamionka (Malakoff), Göran Kauermann (Bielefeld), Pavel Khomski (Bielefeld), Arnost Komarek (Leuven), Tatyana Krivobokova (Bielefeld), Gilbert MacKenzie (Staffordshire), Renate Meyer (Auckland), Vicente Nuńez-Antón (Bilbao), Jorge Virto Moreno (Bilbao), Jesus Orbe (Bilbao), Juan M. Rodríguez-Póo (Saragossa), Gerd Ronning (Tübingen), Walter Schill (Bremen), Michael Svarer (Aarhus), Timo Teuber (Bielefeld), Michael Windmann (Bielefeld), Ronghui Xu (Boston, MA)



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