Longitudinal Models

INLA Team Publishes New Book on Joint Survival and Longitudinal Modelling

1 min read · Tue, May 5 2026

INLA Longitudinal Models Survival analysis

Our research group at KAUST continues to redefine the landscape of computational statistics! We are thrilled to announce the publication of our latest book, a comprehensive guide to fitting complex Bayesian survival, longitudinal, and joint models using the Integrated Nested Laplace Approximations (INLA) methodology. This highly anticipated release represents a major milestone for our team, offering a powerful, computationally efficient alternative to traditional MCMC methods for researchers around the globe.

Hernando Ombao

Professor, Statistics

Time Series Spectral Analysis Wavelets Longitudinal Models Mixed Effects Models Functional Magnetic Resonance Imaging Electroencephalograms

KAUST Professor of Statistics Hernando Ombao is an expert in time series models and their applications to designed medical experiments on complex biological processes.