JoineR-M: Joint Modelling of Repeated Measurements and Time-to-Event Data

The JoineR-M project builds on the original MRC funded JoineR project by considering multivariate longitudinal data and multivariate time-to-event data. The aims and research objectives of the JoineR-M project are:

  1. Development of a novel but sufficiently flexible joint modelling approach for multiple longitudinal biomarkers and correlated event time outcomes aiming to:

    • estimate the association between multiple dimensions of the two outcome processes; and
    • provide individual-specific predictions of clinical events.
  2. Exploit a novel application of multivariate longitudinal-event time joint modelling in pharmacogenetic association studies allowing for the influence of dose and adherence.

  3. Construct user-friendly, freely available software for the implementation of proposed multivariate joint model which can provide solutions in real-time.

  4. Ensure practical relevance of the proposed methods of statistical analyses for the medical research community, with focus on two collaborative research projects: biomarkers for early diagnosis of sepsis; and genetic predictors of response to warfarin treatment.

  5. Bring the proposed methods of statistical analysis into mainstream medical research.

JoineR-M is a collaboration between the universities of Liverpool (PIs: Dr Ruwanthi Kolamunnage-Dona and Dr Andrea Jorgensen) and Northumbria (PI: Dr Pete Philipson). This project also includes statistical collaborators from the universities of Newcastle (Professor Robin Henderson) and Liverpool (Professor Paula Williamson), and clinical collaborators from the University of Liverpool (Professor Cheng-Hock Toh and Professor Sir Munir Pirmohamed) who are internationally recognised consultants within the fields of haematology and pharmacogenetics respectively.