https://scholars.lib.ntu.edu.tw/handle/123456789/30225
標題: | Non-parametric methods for recurrent event data with informative and non-informative censorings | 作者: | CHIN-TSANG CHIANG Wang, Mei-Cheng Chiang, Chin-Tsang |
關鍵字: | cumulative rate function;informative censoring;intensity function;kernal estimation;rate function;recurrent events | 公開日期: | 2002 | 起(迄)頁: | 445-456 | 來源出版物: | Statistics in Medicine | 摘要: | Recurrent event data are commonly encountered in health-related longitudinal studies. In this paper timeto- events models for recurrent event data are studied with non-informative and informative censorings. In statistical literature, the risk set methods have been con5rmed to serve as an appropriate and e6cient approach for analysing recurrent event data when censoring is non-informative. This approach produces biased results, however, when censoring is informative for the time-to-events outcome data. We compare the risk set methods with alternative non-parametric approaches which are robust subject to informative censoring. In particular, non-parametric procedures for the estimation of the cumulative occurrence rate function (CORF) and the occurrence rate function (ORF) are discussed in detail. Simulation and an analysis of data from the AIDS Link to Intravenous Experiences Cohort Study is presented. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/20060927121125210253 | 其他識別: | 20060927121125210253 | DOI: | 10.1002/sim.1029 | SDG/關鍵字: | acquired immune deficiency syndrome; article; cohort analysis; confidentiality; controlled study; data analysis; human; intravenous drug abuse; longitudinal study; major clinical study; outcomes research; patient information; recurrence risk; risk assessment; simulation; statistical analysis; time; Acquired Immunodeficiency Syndrome; Computer Simulation; Hospitalization; Humans; Longitudinal Studies; Models, Statistical; Monte Carlo Method; Statistics, Nonparametric; Substance Abuse, Intravenous |
顯示於: | 數學系 |
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