caa a22 4500 605476128 CHVBK 20210128100355.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10985-014-9304-x doi (NATIONALLICENCE)springer-10.1007/s10985-014-9304-x Subsample ignorable likelihood for accelerated failure time models with missing predictors [Elektronische Daten] [Nanhua Zhang, Roderick Little] Missing values in predictors are a common problem in survival analysis. In this paper, we review estimation methods for accelerated failure time models with missing predictors, and apply a new method called subsample ignorable likelihood (IL) Little and Zhang (J R Stat Soc 60:591-605, 2011) to this class of models. The approach applies a likelihood-based method to a subsample of observations that are complete on a subset of the covariates, chosen based on assumptions about the missing data mechanism. We give conditions on the missing data mechanism under which the subsample IL method is consistent, while both complete-case analysis and ignorable maximum likelihood are inconsistent. We illustrate the properties of the proposed method by simulation and apply the method to a real dataset. Springer Science+Business Media New York, 2014 Missing covariates nationallicence Mortality nationallicence Non-ignorable missingness nationallicence Partial likelihood nationallicence Zhang Nanhua Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center, 45229, Cincinnati, OH, USA aut Little Roderick Department of Biostatistics, School of Public Health, University of Michigan, 48109-2029, Ann Arbor, MI, USA aut Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/3(2015-07-01), 457-469 1380-7870 21:3<457 2015 21 10985 https://doi.org/10.1007/s10985-014-9304-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10985-014-9304-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Nanhua Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center, 45229, Cincinnati, OH, USA aut NATIONALLICENCE 700 1- Little Roderick Department of Biostatistics, School of Public Health, University of Michigan, 48109-2029, Ann Arbor, MI, USA aut NATIONALLICENCE 773 0- Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/3(2015-07-01), 457-469 1380-7870 21:3<457 2015 21 10985