caa a22 4500 605476055 CHVBK 20210128100354.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10985-014-9296-6 doi (NATIONALLICENCE)springer-10.1007/s10985-014-9296-6 A functional inference for multivariate current status data with mismeasured covariate [Elektronische Daten] [Chi-Chung Wen, Yih-Huei Huang, Yuh-Jenn Wu] Covariate measurement error problems have been recently studied for current status failure time data but not yet for multivariate current status data. Motivated by the three-hypers dataset from a health survey study, where the failure times for three-hypers (hyperglycemia, hypertension, hyperlipidemia) are subject to current status censoring and the covariate self-reported body mass index may be subject to measurement error, we propose a functional inference method under the proportional odds model for multivariate current status data with mismeasured covariates. The new proposal utilizes the working independence strategy to handle correlated current status observations from the same subject, as well as the conditional score approach to handle mismeasured covariate without specifying the covariate distribution. The asymptotic theory, together with a stable computation procedure combining the Newton-Raphson and self-consistency algorithms, is established for the proposed estimation method. We evaluate the method through simulation studies and illustrate it with three-hypers data. Springer Science+Business Media New York, 2014 Conditional score nationallicence Correlated data nationallicence Measurement error nationallicence Proportional odds model nationallicence Self-consistency nationallicence Wen Chi-Chung Department of Mathematics, Tamkang University, 25137, New Taipei, Taiwan aut Huang Yih-Huei Department of Mathematics, Tamkang University, 25137, New Taipei, Taiwan aut Wu Yuh-Jenn Department of Applied Mathematics, Chung Yuan Christian University, 32082, Chung Li, Taiwan aut Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/3(2015-07-01), 379-396 1380-7870 21:3<379 2015 21 10985 https://doi.org/10.1007/s10985-014-9296-6 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/s10985-014-9296-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wen Chi-Chung Department of Mathematics, Tamkang University, 25137, New Taipei, Taiwan aut NATIONALLICENCE 700 1- Huang Yih-Huei Department of Mathematics, Tamkang University, 25137, New Taipei, Taiwan aut NATIONALLICENCE 700 1- Wu Yuh-Jenn Department of Applied Mathematics, Chung Yuan Christian University, 32082, Chung Li, Taiwan aut NATIONALLICENCE 773 0- Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/3(2015-07-01), 379-396 1380-7870 21:3<379 2015 21 10985