Supported by the National Natural Science Foundation of China (10771163)
Right randomly censored data with incomplete infor-mation are frequently met in practice.Although much study about right randomly censored data has been seen in the proportional hazards model,relatively little is know...
Supported by National Natural Science Foundation of China (Grant No. 10771163) The authors are grateful from the Associate Editor and the referees which article. for the valuable comments and suggestions drastically improved the appearance of this
The seminal Cox's proportional intensity model with multiplicative frailty is a popular approach to analyzing the frequently encountered recurrent event data in scientific studies. In the case of violating the propor...
Supported by the National Natural Science Foundation of China (10771163)
In this paper, we consider testing the hypothesis that all multinomial populations in the stratified contingency table are identically distributed against the alternative that all these popula- tions are in simple tre...
Supported by the National Natural Science Foundation of China (10771163)
For multivariate failure time with auxiliary covariate information, an estimated pseudo-partial-likelihood estimator under the marginal hazard model with distinguishable baseline hazard has been proposed. However, the...
In this article, a law of iterated logarithm for the maximum likelihood estimator in a random censoring model with incomplete information under certain regular conditions is obtained.