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

Abstract

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.

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Item Type	Article
Faculty and Department	Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology Faculty of Epidemiology and Population Health > Dept of Medical Statistics
Research Centre	?? 208138 ??
PubMed ID	24947904
ISI	344178400008

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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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