Owen William J
Department of Mathematics and Computer Science, University of Richmond, Richmond, VA 23173, USA.
Lifetime Data Anal. 2005 Jun;11(2):233-43. doi: 10.1007/s10985-004-0385-9.
A power analysis is used to compare tests developed for a new lifetime model applicable for certain paired-data experiments. Two pivotal quantities are available for exact parametric testing of the equality of the marginal survival distributions. Here, the power of each test will be calculated to find the more powerful test. The analysis leads to an interesting scenario where the two power curves are quite similar and less powerful test may actually be preferred for pragmatic considerations.
功效分析用于比较为适用于某些配对数据实验的新寿命模型开发的检验。有两个关键量可用于对边际生存分布的相等性进行精确的参数检验。在此，将计算每个检验的功效以找到功效更强的检验。该分析导致了一种有趣的情况，即两条功效曲线非常相似，出于实际考虑，实际上可能更倾向于选择功效较弱的检验。
