From: Bayesian joint modelling of longitudinal and time to event data: a methodological review
 | Number of articles (%) | Reference |
---|---|---|
Type of outcome | ||
 Continuous | 8(36.4%) | |
 Rate, Ordinal, \ (or/and continuous), Continuous, Ordinal and Discretea | 5(22.7%) | |
 Continues and binary | 2(9.1%) | |
 Continuous and ordinal | 3(13.6%) | |
 Continuous, ordinal and binary | 4(18.2%) | |
Model | ||
 GLM, Partially LMEa | 2(9.1%) | |
 Multivariate GLM | 4(18.2%) | |
 Multivariate mixed effect models | 5(22.7%) | |
 ZAB, Proportional-odds cumulative logit modela | 2(9.1%) | |
 GLM and CR mixed-effects model, Mixed-effect model and CR mixed-effects model, LME and continuous latent variable model, LME and a mixed-effects beta regression model, ZOIBa | 5(22.7%) | |
 MLIRT | 2(9.1%) | |
 MLLTM, MLTLMa | 2(9.1%) | |
Random effect distribution | ||
 Normal | 12 (54.5%) | |
 Multivariate normal | 7(31.8%) | |
 Dirichlet process prior | 3(13.7%) | |
Error distribution | ||
 Normal | 12(63.2%) | |
 Multivariate normal SN | 4(21.1%) | |
 Finite mixture of normal distributions, Multivariate SN, SN/Ia | 3(15.7%) |