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Table 2 Summary of longitudinal sub-models with multivariate longitudinal outcomes

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%) [20, 21, 28, 32, 49, 63, 82, 83]
 Rate, Ordinal, \ (or/and continuous), Continuous, Ordinal and Discretea 5(22.7%) [14, 26, 34, 50, 84]
 Continues and binary 2(9.1%) [36, 57]
 Continuous and ordinal 3(13.6%) [29, 41, 45]
 Continuous, ordinal and binary 4(18.2%) [30, 85,86,87]
Model
 GLM, Partially LMEa 2(9.1%) [20, 32]
 Multivariate GLM 4(18.2%) [14, 34, 36, 57]
 Multivariate mixed effect models 5(22.7%) [21, 28, 63, 82, 83]
 ZAB, Proportional-odds cumulative logit modela 2(9.1%) [26, 50]
 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%) [29, 41, 45, 49, 84]
 MLIRT 2(9.1%) [30, 86]
 MLLTM, MLTLMa 2(9.1%) [85, 87]
Random effect distribution
 Normal 12 (54.5%) [20, 26, 29, 30, 36, 45, 50, 82, 84,85,86,87]
 Multivariate normal 7(31.8%) [14, 21, 28, 41, 49, 63, 83]
 Dirichlet process prior 3(13.7%) [32, 34, 57]
Error distribution
 Normal 12(63.2%) [20, 29, 30, 36, 41, 45, 49, 57, 82, 83, 85, 87]
 Multivariate normal SN 4(21.1%) [14, 21, 34, 63]
 Finite mixture of normal distributions, Multivariate SN, SN/Ia 3(15.7%) [28, 32, 86]
  1. aThe order of the outcomes/models/distributions have the same order as in the reference