Tutorials will be held on Monday March 14, 2016 from 9 am - 5 pm at the Verfügungsgebäude (VG) on central campus. For registration you have to register as participant for the conference and mark the appropriate tutorial (link). The fee has to be payed together with the DAGStat2016 registration fee within 7 days.

Upon arrival you can register for the conference directly at the tutorial seminar room on Monday 14th, from 8.45 am. Please see directions on the maps below.

Please bring your own computer.



Copulae in Practice

Ostap Okhrin, TU Dresden

Verfügungsgebäude VG 1.104

  • Price: EURO 100 regular, EURO 60 students
  • 40-50 participants

Evidence Synthesis / Meta-Analysis

Guido Knapp, TU Dortmund, Gerta Rücker, Guido Schwarzer, Uni Freiburg (link to more information)

Verfügungsgebäude VG 1.102

  • Price: EURO 100 regular, EURO 60 students
  • 40-50 participants

Introduction to Integer-Valued Time Series

Christian Weiss, HSU Hamburg (link to more information)

Verfügungsgebäude VG 1.101

  • Price: EURO 100 regular, EURO 50 students
  • 40-50 participants

Event Data Analysis

Robin Henderson, Newcastle

Verfügungsgebäude VG 1.103

  • Price: EURO 100 regular, EURO 60 students
  • 30 participants

Standard survival analysis is concerned with time to a single event. Event history analysis connects together several events for each individual.

This tutorial provides a general introduction to event history analysis based primarily on counting process methods.  The aim is to give a flavour of ideas and methods for a range of event history problems rather than provide full detail of any one. The mathematical content will be very light and there will be hands-on computing sessions based mainly on methods that can be applied using the standard survival package in R.

There day will be divided into four sessions, each consisting of a talk followed by  a computer session.  The first session will include an introduction to counting processes  and a comparison between single-event survival and more general event history problems.  Session 2 introduces regression models and then frailty for both heterogeneity and clustered and multivariate survival data.  Session 3 turns to general event history with  time-varying effects and time-varying and dynamic covariates. Finally in Session 4 we provide an introduction to competing risks analysis. 

Participants are assumed to have some familiarity with standard survival analysis (though a quick introduction is given) and are requested to bring a laptop with R installed.