A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis
A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis
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DOI：
10.1002/bimj.201300028
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发表时间：
2014-11-01
影响因子：
1.7
通讯作者：
Rizopoulos, Dimitris
中科院分区：
文献类型：
--
作者：
Njagi, Edmund Njeru;Molenberghs, Geert;Rizopoulos, Dimitris
We consider a conceptual correspondence between the missing data setting, and joint modeling of longitudinal and time-to-event outcomes. Based on this, we formulate an extended shared random effects joint model. Based on this, we provide a characterization of missing at random, which is in line with that in the missing data setting. The ideas are illustrated using data from a study on liver cirrhosis, contrasting the new framework with conventional joint models.
