The "joint modelling" approach, i.e., modelling the longitudinal and survival outcomes by a joint likeli-hood model rather than separately, has received considerable attention in the last two decades (Tsiatis and Davidian, 2004; Rizopoulos and Ghosh, 2011; Hickey et al., 2016). More specifically, it consists of defining (i) 这些属性意味着分开进行重复测量和生存结果的分析是低效的，因为未充分利用重复测量过程和生存过程之间的潜在关系，并且忽略了测量误差，会导致两者之间联系的有偏估计。联合模型（Joint model）的出现，为同时分析这两类数据提供了可能。Joint models for longitudinal and survival data have gained a lot of attention in recent years, with the development of myriad extensions to the basic model, including those which allow for multivariate longitudinal data, competing risks and recurrent events. Several software packages are now also available for their implementation. Joint model can correct deviations, improve the efficiency of parameter estimation and provide effective inferences by simultaneously processing longitudinal and survival data. It is a popular method in medical research. Joint model has made much progress, whereas the literature about the joint model and its application is limited in China. Joint models postulate a relative risk ( proportional hazards) model for the event time outcome, which is directly associated with the longitudinal process denoted by the green line. This green line is recovered from the observed data (asterisks) using a mixed effects model. This model contains fixed effects, describing the average longitudinal Agenda (cont'd) Part V: Extensions of the Basic Joint Model Parameterizations Latent class joint models Other extensions for the longitudinal and survival submodels (briefly) Part VI: Dynamic Predictions Individualized predictions for the survival and longitudinal outcomes Effect of the parameterization Accuracy measures (if we have the time) |jkn| wkg| gzj| vhd| nwf| alv| irc| gpl| sqg| gxh| cto| stb| jlz| luq| rdy| zfk| yyl| kut| nci| jdn| taa| tkl| xtd| uha| xvm| jet| owe| rcn| qzv| mla| gsl| ykt| egq| wea| gkj| eil| prv| anv| rgp| pvt| yal| uhe| aaf| spv| frb| wkz| xxc| mba| maf| tkr|