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作者：Yuen, KC; Burke, MD
作者单位：University of Calgary
摘要：Kolmogorov-Smirnov and Cramer-von Mises type test statistics based on the standardised cumulative hazard process are proposed. It is very difficult to evaluate their asymptotic distributions, but they can be approximated by the use of the bootstrap. The advantages of the goodness-of-fit test are that arbitrary partitions of the time axis and covariate spaces are not needed for evaluating test statistics and that it has excellent consistency properties. The test is applied to data from the Mayo...
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作者：Kwan, ACC; Wu, YR
作者单位：Rutgers University System; Rutgers University New Brunswick; Rutgers University Newark
摘要：This note investigates the finite-sample performance of Monti's test, paying special attention to its estimated sizes and empirical powers. Our simulation results indicate that (i) the test size can be affected by the choice of the number of residual partial autocorrelations, m, and (ii) the empirical powers of the Monti and the Ljung-Box tests are similar in the cases of both seasonal and non-seasonal data if m is properly chosen.
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作者：Hu, P; Zelen, M
作者单位：Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
摘要：The lack of statistical theory for the planning of early detection trials has resulted in current trials being sub-optimal. We develop probability models that address three characteristics of early detection trials: (i) the optimal time of analysis and length of follow-up, (ii) the optimal spacing between examinations, and (iii) the planning of trials where the numbers of examinations versus sample size are balanced for fixed costs. The optimisation criterion is to maximise the power of the st...
