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%) | |
Model | ||
 GLM, NLME, SNLME, Semiparametric random-effects modela | 5(12.2%) | |
 LME | 13(31.7%) | |
 Partially LME | 4(9.8%) | |
 Mixed effect model, Mixed effect model with IOU stochastic process, Mixed-effect varying coefficient Tobit model, Bent-cable mixed-effects modela | 4(9.8%) | |
 Mixed-effects varying-coefficient model | 3(7.3%) | |
 LQMM, Quantile-based mixed model, QR- NLME, QR-NLMETa | 4(9.8%) | |
 Hurdle two-part model and Longitudinal Tobit modela | 2(4.8%) | |
 Random change point model, Multiple-change point model, Longitudinal model for the immune response a | 4(9.8%) | |
 ZAB, Two zero-inflated count modelsa | 2(4.8%) | |
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%) | |
 Finite mixture of normal distributions, N/Ia | 3(7.9%) | |
 Dirichlet process prior | 2(5.3%) | |
 Spline | 5(13.1%) | |
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%) | |
 t-distribution | 1(2.8%) | [18] |
 ST | 6(16.2%) | |
 Multivariate ST | 6(16.2%) | |
 ALD | 3(8.1%) |