標題: On assessing the association for bivariate current status data
作者: Wang, WJ
Ding, AA
統計學研究所
Institute of Statistics
關鍵字: Copula model;cross-sectional data;Kendall's tau;odds ratio;pseudolikelihood;semiparametric estimation
公開日期: 1-十二月-2000
摘要: Assuming that the two failure times of interest with bivariate current status data follow a bivariate copula model, we propose a two-stage estimation procedure to estimate the association parameter which is related to Kendall's tau. Asymptotic properties of the proposed semiparametric estimator show that, although the first-stage marginal estimators have a convergence rate of only n(1/3), the resulting parameter estimator still converges to a normal random variable with the usual n(1/2) rate. The variance of the proposed estimator can be consistently estimated. Simulation results are presented, and a community-based study of cardiovascular diseases in Taiwan provides an illustrative example.
URI: http://hdl.handle.net/11536/30061
ISSN: 0006-3444
期刊: BIOMETRIKA
Volume: 87
Issue: 4
起始頁: 879
結束頁: 893
顯示於類別:期刊論文


文件中的檔案:

  1. 000166132800010.pdf