Case-control current status data

被引:11
作者
Jewell, NP [1 ]
van der Laan, M [1 ]
机构
[1] Univ Calif Berkeley, Sch Publ Hlth, Div Biostat, Berkeley, CA 94720 USA
关键词
case-control sampling; current status data; HIV data; nonparametric maximum likelihood estimation;
D O I
10.1093/biomet/91.3.529
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, we show that the distribution function of survival times is identified, up to a one-parameter family of distribution functions, based on information from case-control current status data. With supplementary information on the population frequency of cases relative to controls, a simple weighted version of the nonparametric maximum likelihood estimator for prospective current status data provides a natural estimator for case-control samples. Following the parametric results of Scott & Wild (1997), we show that this estimator is, in fact, the nonparametric
引用
收藏
页码:529 / 541
页数:13
相关论文
共 20 条
[1]  
[Anonymous], 2017, GEN ADDITIVE MODELS, DOI DOI 10.1201/9780203753781
[2]  
[Anonymous], P 1 SEATTL C BIOST
[3]   AN EMPIRICAL DISTRIBUTION FUNCTION FOR SAMPLING WITH INCOMPLETE INFORMATION [J].
AYER, M ;
BRUNK, HD ;
EWING, GM ;
REID, WT ;
SILVERMAN, E .
ANNALS OF MATHEMATICAL STATISTICS, 1955, 26 (04) :641-647
[4]  
Banerjee M, 2001, ANN STAT, V29, P1699
[5]  
BANERJEE M, 2004, IN PRESS BERNOUILLI
[6]  
Barlow R. E., 1972, STAT INFERENCE ORDER
[7]  
Bennett S, 1983, Stat Med, V2, P273, DOI 10.1002/sim.4780020223
[8]  
*CDC, 1995, MMWR-MORBID MORTAL W, V44, P929
[9]  
GROENEBOOM P, 1980, NONPARAMETRIC MAXIMU
[10]  
Huang J., 1995, STAT NEERL, V49, P153, DOI DOI 10.1111/J.1467-9574.1995.TB01462.X