A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis.
Njagi, Edmund Njeru;
Molenberghs, Geert;
Kenward, Michael G;
Verbeke, Geert;
Rizopoulos, Dimitris;
(2014)
A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis.
Biometrical journal Biometrische Zeitschrift, 56 (6).
pp. 1001-1015.
ISSN 0323-3847
DOI: https://doi.org/10.1002/bimj.201300028
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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.