2 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ME2020
Modeling dependent survival data through random effects with spatial correlation at the subject level
Ajmal Oodally, Estelle Kuhn, Klara Goethals +1
Dynamical phenomena such as infectious diseases are often investigated by following up subjects longitudinally, thus generating time to event data. The spatial aspect of such data…
stat.ME2019★ 2 cited
Convergent stochastic algorithm for parameter estimation in frailty models using integrated partial likelihood
Oodally Ajmal, Luc Duchateau, Estelle Kuhn
Frailty models are often the model of choice for heterogeneous survival data. A frailty model contains both random effects and fixed effects, with the random effects accommodating…
stat.ME2014★ 1 cited
Extending the Archimedean copula methodology to model multivariate survival data grouped in clusters of variable size
Leen Prenen, Roel Braekers, Luc Duchateau
For the analysis of clustered survival data, two different types of models that take the association into account, are commonly used: frailty models and copula models. Frailty mode…