Showing 1 - 10 of 69
Murrayand Tsiatis (1996) described a weighted survival estimate thatincorporates prognostic time-dependent covariate informationto increase the efficiency of estimation. We propose a test statisticbased on the statistic of Pepe and Fleming (1989, 1991) thatincorporates these weighted survival...
Persistent link: https://www.econbiz.de/10009477089
This research develops nonparametric strategies for sequentially monitoring clinical trial data where detecting years of life saved is of interest. The recommended test statistic looks at integrated differences in survival estimates during the time frame of interest. In many practical...
Persistent link: https://www.econbiz.de/10009477553
This research develops non-parametric methodology for sequential monitoring of paired time-to-event data when comparing years of life saved, or years where any unpleasant outcome is delayed, is of interest. The recommended family of test statistics uses integrated differences in survival...
Persistent link: https://www.econbiz.de/10009477203
This research introduces methods for nonparametric testing of weighted integrated survival differences in the context of paired censored survival designs. The current work extends work done by Pepe and Fleming (1989, Biometrics 45 , 497–507), which considered similar test statistics directed...
Persistent link: https://www.econbiz.de/10009477361
Persistent link: https://www.econbiz.de/10003870374
Persistent link: https://www.econbiz.de/10010946472
Persistent link: https://www.econbiz.de/10010946670
Persistent link: https://www.econbiz.de/10010948081
Persistent link: https://www.econbiz.de/10010948103
Persistent link: https://www.econbiz.de/10010948301