Statistical analysis of current status data with informative observation times Export

@article{citeulike:3377049, abstract = {Current status data arise when each study subject is observed only once and the survival time of interest is known only to be either less or greater than the observation time. Such data often occur in, for example, cross-sectional studies, demographical investigations and tumorigenicity experiments and several semi-parametric and non-parametric methods for their analysis have been proposed. However, most of these methods deal only with the situation where observation time is independent of the underlying survival time completely or given covariates. This paper discusses regression analysis of current status data when the observation time may be related to the underlying survival time and inference procedures are presented for estimation of regression parameters under the additive hazards regression model. The procedures can be easily implemented and are applied to two motivating examples. Copyright {\copyright} 2004 John Wiley \& Sons, Ltd.}, address = {Department of Statistics, Oklahoma State University, 301 Mathematics Sciences Building, Stillwater, OK 74074, U.S.A.; Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, MO 65211, U.S.A.; Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing 100080, People's Republic of China}, author = {Zhang, Zhigang and Sun, Jianguo and Sun, Liuquan}, citeulike-article-id = {3377049}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/sim.2001}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/109800751/ABSTRACT}, doi = {10.1002/sim.2001}, journal = {Statistics in Medicine}, keywords = {informative, obesrivation}, number = {9}, pages = {1399--1407}, posted-at = {2008-10-05 13:30:24}, priority = {2}, title = {Statistical analysis of current status data with informative observation times}, url = {http://dx.doi.org/10.1002/sim.2001}, volume = {24}, year = {2005} }

TY - JOUR ID - citeulike:3377049 L3 - citeulike-article-id:3377049 N2 - Current status data arise when each study subject is observed only once and the survival time of interest is known only to be either less or greater than the observation time. Such data often occur in, for example, cross-sectional studies, demographical investigations and tumorigenicity experiments and several semi-parametric and non-parametric methods for their analysis have been proposed. However, most of these methods deal only with the situation where observation time is independent of the underlying survival time completely or given covariates. This paper discusses regression analysis of current status data when the observation time may be related to the underlying survival time and inference procedures are presented for estimation of regression parameters under the additive hazards regression model. The procedures can be easily implemented and are applied to two motivating examples. Copyright © 2004 John Wiley & Sons, Ltd. IS - 9 JF - Statistics in Medicine AD - Department of Statistics, Oklahoma State University, 301 Mathematics Sciences Building, Stillwater, OK 74074, U.S.A.; Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, MO 65211, U.S.A.; Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing 100080, People's Republic of China EP - 1407 TI - Statistical analysis of current status data with informative observation times VL - 24 SP - 1399 KW - informative KW - obesrivation AU - Zhang, Zhigang AU - Sun, Jianguo AU - Sun, Liuquan PY - 2005/// UR - http://dx.doi.org/10.1002/sim.2001 ER -