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Table 1 Summary of longitudinal sub-models with single longitudinal outcome

From: Bayesian joint modelling of longitudinal and time to event data: a methodological review

  Number of articles (%) Reference
Type of outcome
 Continuous 39(95.1%) [13, 15,16,17,18,19, 22,23,24,25, 27, 33, 35, 37,38,39,40, 43, 44, 46,47,48, 51, 52, 55, 56, 59,60,61,62, 65, 66, 75,76,77,78,79,80,81]
 Count 2(4.9%) [31, 53]
Model
 GLM, NLME, SNLME, Semiparametric random-effects modela 5(12.2%) [51, 52, 77, 78, 81]
 LME 13(31.7%) [15,16,17,18,19, 23, 33, 35, 46, 48, 62, 75, 76]
 Partially LME 4(9.8%) [22, 37, 56, 61]
 Mixed effect model, Mixed effect model with IOU stochastic process, Mixed-effect varying coefficient Tobit model, Bent-cable mixed-effects modela 4(9.8%) [25, 39, 44, 47]
 Mixed-effects varying-coefficient model 3(7.3%) [27, 38, 80]
 LQMM, Quantile-based mixed model, QR- NLME, QR-NLMETa 4(9.8%) [24, 59, 60, 79]
 Hurdle two-part model and Longitudinal Tobit modela 2(4.8%) [43, 66]
 Random change point model, Multiple-change point model, Longitudinal model for the immune response a 4(9.8%) [13, 40, 55, 65]
 ZAB, Two zero-inflated count modelsa 2(4.8%) [31, 53]
Random effect distribution
 Normal 17(47.4%) [13, 15, 19, 25, 27, 33, 38, 46, 47, 51, 55, 60, 75,76,77, 79,80,81]
 Multivariate normal 10(26.3%) [16,17,18, 24, 39, 43, 44, 59, 62, 66]
 Finite mixture of normal distributions, N/Ia 3(7.9%) [48], [23, 35]
 Dirichlet process prior 2(5.3%) [40, 52]
 Spline 5(13.1%) [22, 37, 56, 61, 78]
Error distribution
 Normal 18(48.6%) [13, 16, 17, 19, 33, 39, 40, 46,47,48, 52, 55, 62, 65, 66, 75, 76, 81]
 N/I, SNa 3(8.1%) [23, 35], [51]
 t-distribution 1(2.8%) [18]
 ST 6(16.2%) [15, 22, 37, 38, 56, 61]
 Multivariate ST 6(16.2%) [25, 27, 44, 77, 78, 80]
 ALD 3(8.1%) [24, 59, 79]
  1. aThe order of the outcomes/models/distributions have the same order as in the reference