A power analysis of tests for paired lifetime data.
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.
Owen
William J
WJ
Department of Mathematics and Computer Science, University of Richmond, Richmond, VA 23173, USA. wowen@richmond.edu
D003661:Decision Support Techniques; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D011537:Pruritus / Q000188:drug therapy; D016019:Survival Analysis