Semiparametric analysis of incomplete current status outcome data under transformation models-Reference-Cited by-同舟云学术

Semiparametric analysis of incomplete current status outcome data under transformation models

Published:2014-01-19 Issue:2 Volume:70 Page:335-345
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Wen Chi-Chung¹,Chen Yi-Hau²

Affiliation:

1. Department of Mathematics; Tamkang University; New Taipei City 25137 Taiwan, ROC

2. Institute of Statistical Science; Academia Sinica; Taipei 11529 Taiwan, ROC

Funder

National Science Council of Republic of China (Taiwan)

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12141/fullpdf

Reference21 articles.

1. An empirical distribution function for sampling with incomplete information;Ayer;Annals of Mathematical Statistics,1955

2. A robust imputation method for surrogate outcome data;Chen;Biometrika,2000

3. Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models;Chen;Biometrika,2009

4. A unified approach to regression analysis under double-sampling designs;Chen;Journal of the Royal Statistical Society, Series B,2000

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Regression analysis of group-tested current status data;Biometrika;2024-02-12

2. Interval-censored data with misclassification: a Bayesian approach;Journal of Applied Statistics;2020-04-16

3. Regression analysis of misclassified current status data;Journal of Nonparametric Statistics;2019-11-09

4. Sample size determination for semiparametric analysis of current status data;Statistical Methods in Medical Research;2018-02-28