<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Xiao-Li Meng, Yiannis Bassiakos, Shaw-Hwa Lo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Large-Sample Properties for a General Estimator of the Treatment Effect in the Two-Sample Problem with Right Censoring</style></title><secondary-title><style face="normal" font="default" size="100%">The Annals of Statistics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1991</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.jstor.org/stable/2241904</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">4</style></number><publisher><style face="normal" font="default" size="100%">Institute of Mathematical Statistics</style></publisher><volume><style face="normal" font="default" size="100%">19</style></volume><pages><style face="normal" font="default" size="100%">1786-1812</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The estimation of the treatment effect in the two-sample problem with right censoring is of interest in survival analysis. In this article we consider both the location shift model and the scale change model. We establish the large-sample properties of a generalized Hodges-Lehmann type estimator. The strong consistency is established under the minimal possible conditions. The asymptotic normality is also obtained without imposing any conditions on the censoring mechanisms. As a by-product, we also establish a result for the oscillation behavior of the Kaplan-Meier process, which extends the Bahadur result for the empirical process to the censored case.</style></abstract></record></records></xml>