61 citations · 83 across the 4 of their papers we have counts for
4 papers
JointAI: Joint Analysis and Imputation of Incomplete Data in R
Nicole S. Erler, Dimitris Rizopoulos, Emmanuel M. E. H. Lesaffre
Missing data occur in many types of studies and typically complicate the analysis. Multiple imputation, either using joint modelling or the more flexible fully conditional specific…
Bayesian Hierarchical Modeling of Longitudinal Glaucomatous Visual Fields using a Two-Stage Approach
S. R. Bryan, P. H. C. Eilers, B. Li +4
The Bayesian approach has become increasingly popular because it allows to model quite complex models via Markov chain Monte Carlo (MCMC) sampling. However, it is also recognized n…
Dynamic Predictions with Time-Dependent Covariates in Survival Analysis using Joint Modeling and Landmarking
Dimitris Rizopoulos, Magdalena Murawska, Eleni-Rosalina Andrinopoulou +3
A key question in clinical practice is accurate prediction of patient prognosis. To this end, nowadays, physicians have at their disposal a variety of tests and biomarkers to aid t…
Bayesian semiparametric inference for multivariate doubly-interval-censored data
Alejandro Jara, Emmanuel Lesaffre, Maria De Iorio +1
Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a funct…