Journal
STATISTICS IN MEDICINE
Volume 27, Issue 21, Pages 4221-4237Publisher
WILEY
DOI: 10.1002/sim.3290
Keywords
confidence intervals; parametric bootstrapping; generalized confidence intervals; generalized pivot
Ask authors/readers for more resources
Recently, there is an emerging interest in the inference of P(Y-1 > Y-2) where Y-1 and Y-2 stand for two independent continuous random variables. So far, most of the research in this field focuses on simply comparing two outcomes without adjusting for covariates. This paper mainly presents a large sample approach based oil a noncentral t distribution for the confidence interval estimation of P(Y-1 > Y-2) with normal outcomes models. Furthermore. the performance of the proposed large sample approach is compared with that of a generalized variable approach and a bootstrap approach, simulation studies demonstrate that for small-to-medium sample sizes. both the large sample approach and the generalized variable approach provide confidence intervals with satisfying coverage probabilities whereas the bootstrap approach can be slightly liberal for certain scenarios. The proposed approaches are applied to three real-life data sets. Copyright (C) 2008 John Wiley & Sons, Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available