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AMCS/STAT Graduate Seminar: Joint longitudinal-survival models using R-INLA

Start Date: May 9, 2019
End Date: May 9, 2019

By Dr. Janet van Niekerk (KAUST)
Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different association structures, linear and non-linear longitudinal trajectories amongst others. They gained popularity amongst practitioners by the ability to incorporate various data sources. In this talk, we will introduce joint models and provide some conceptual ideas about their use and necessity. Also, we will illustrate how these models can be formulated as Latent Gaussian Models and hence be implemented using R-INLA. In particular, we present the partially linear joint model using a stochastic smoothing spline component instead of the usual B-splines or P-splines approach. The stochastic smoothing spline is independent of knots which leads to more robust model components.
Bio: Janet van Niekerk is a post-doctoral fellow in the Bayesian computational statistics group under the leadership of Prof. Haavard Rue. She obtained her PhD in 2017 in South Africa where she served as a faculty member for five years. Her research interests are mainly in survival analysis using Bayesian methods and computationally efficient approaches.

More Information:

For more info contact: Dr. Janet Van Niekerk: email:
Date: Thursday 9 May 2019
Time:12:00 PM - 01:00 PM
Location: Building 9, Lecture Hall 1 Room 2322