清華大學、交通大學
統 計 學 研 究 所
專 題 演 講
題 目: Exact Non-inferiority Tests for the Difference in Partial Paired
Areas under the ROC Curves
主講人: 劉仁沛博士 (台灣大學農藝學系與國衛院生統組合聘)
時 間: 96年6月1日（星期五）10：40 - 11：30
（上午10：20-10：40茶會於統計所821室舉行）
地 點: 清大綜合三館837室
Abstract
When the standard procedure is available for diagnosis of a certain disease,
it is more reasonable and feasible to verify the diagnostic accuracy of the
new test procedure is not inferior to that of the current standard procedure.
The difference in paired areas under the receiver operating characteristic
(ROC) curves is one of the most commonly employed measures for comparison of
overall diagnostic accuracy. However, the partial area under the ROC curves
can be a better and more informative summary index for some diagnostic
procedures which require the false positive rate not exceeding a certain level.
Nonparametric and maximum likelihood methods can be used to construct the
non-inferiority tests based on difference in paired partial areas under ROC
curves. However, their performance on size and power has not been thoroughly
investigated. We propose to use the concept of generalized pivotal quantities
to construct an exact non-inferiority test for the diagnostic accuracy based
on the difference in partial paired areas under ROC curves. A simulation study
is conducted to empirically investigate the size and power of the three methods
for various combinations of sample sizes, values of the partial areas under
the ROC curve and correlations. Simulation results demonstrate that the exact
non-inferiority test based on the concept of generalized pivotal quantities
not only adequately controls the size at the nominal level but also is
uniformly more powerful than the other two methods. Numerical examples using
published data illustrate the proposed method.
敬請公佈 歡迎參加
--
※ 發信站: 批踢踢實業坊(ptt.cc)
◆ From: 140.113.114.165