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Biometrical Journal – Special Issue

Call for Papers: Joint Modelling of Longitudinal and Time-To-Event Data and Beyond


Guest Editors of this Special Issue: Carmen Cadarso Suárez, Nadja Klein, Thomas Kneib, Geert Molenberghs, Dimitris Rizopoulos


This special issue will collect novel contributions to and recent advances in joint modelling techniques motivated from applied problems originating in the life sciences. The most common form of joint models has been developed to deal with the simultaneous collection of longitudinal outcomes together with duration data on the same subjects and leads to joint models for longitudinal and time-to-event data. Separate analyses of such data will typically be inappropriate when one is interested in the relationships between the longitudinal outcomes and the time-to-event data.  Joint models overcome these difficulties by simultaneously analyzing the longitudinal outcome variables with the duration process. Different approaches exist (shared random effects, shared predictors, pattern mixture models, selection models, etc.) but they all have in common that the main objective is to provide a framework for the simultaneous analysis of the longitudinal outcomes and the time-to-event data. In particular, joint modelling approaches aim at characterizing the joint distribution of the longitudinal outcomes and the time-to-event data in different ways depending on the framework.

For this special issue, we will interpret the term “joint models” in a broad sense such that it also includes the simultaneous treatment of other response types, for example in a multivariate regression model for longitudinal data. Hence, the focus of the special issue includes but is not limited to:

  • Time-to-event analysis with time-dependent covariates measured with error
  • Joint modelling based on longitudinal data with nonrandom dropout or other types of incomplete data
  • Joint modelling with time-dependent confounders and endogeneous regressors
  • Joint modelling with multivariate longitudinal data
  • Joint modelling of longitudinal data and multistate or competing risks data
  • Diagnostics and model selection in joint modeling
  • Bayesian joint modelling
  • Joint modelling including spatial effects in either the longitudinal or the time-to-event part
  • Joint modelling of multiple longitudinal responses in a multivariate response model

Authors, who are not sure whether their research falls under this call or not, may send an initial draft of the paper to the guest editors to receive a preliminary opinion.

Submissions will be handled as any other paper submitted to the journal except that the editing and the review process is handled by the Special Issue Editors. Please submit your manuscript via the online submission system available at

To submit to the special issue, login at manuscript central, indicate at step 1 of the submission process that the submission is to a special issue and at step 4 enter "Joint Modelling" in the Special Issue Information field. Submitted manuscripts should comply with the instructions for authors of Biometrical Journal which you can find on the Biometrical Journal homepage using the link to the Author Guidelines. The deadline for paper submission is August 31, 2016.

All papers submitted to the special issue must be motivated by a relevant biostatistical application and have to adhere to the reproducible research policy by the Biometrical Journal. Authors will therefore have to submit computer code and (if possible) data sets that were used in the submission. Purely theoretical papers as well as heavily computational papers without proper motivation and application are strongly discouraged.

Special attention will be paid to the language quality of the submitted papers and authors will be requested to consider professional support for editing the language of their papers where necessary.

Although submissions are of course not restricted to participants, this special issue is related to two meetings to be held in 2016:

  • The second Galician-Portuguese meeting of Biometry, with applications to Health Sciences, Ecology and Environmental Sciences (BIOAPP-2016, which will take place in Santiago de Compostela, Spain, from June 30 to July 2, 2016.
  • The workshop Joint Modeling and Beyond 2016 ( that will take place at the University of Hasselt (Belgium) from April 14 to April 15, 2016.