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A Nonparametric Test to Compare Survival Distributions with Covariate Adjustment

带协变量调整的生存分布比较非参数检验

Summary The analysis of covariance is a technique that is used to improve the power of a k-sample test by adjusting for concomitant variables. If the end point is the time of survival, and some observations are right censored, the score statistic from the Cox proportional hazards model is the method that is most commonly used to test the equality of conditional hazard functions. In many situations, however, the proportional hazards model assumptions are not satisfied.…

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Using the Generalized Likelihood Ratio Statistic for Sequential Detection of a Change-Point

用广义似然比统计量序贯检测变点

We study sequential detection of a change-point using the generalized likelihood ratio statistic. For the special case of detecting a change in a normal mean with known variance, we give approximations to the average run lengths and compare our procedure to standard CUSUM tests and combined CUSUM-Shewhart tests. Several examples indicating extensions to problems involving multiple parameters are discussed.

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