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作者:GUPTA, S
摘要:The work of Pearce is studied in relation to the recent research on designs for control versus test comparisons. A condition for a nonorthogonal design to be most efficient is given, and a lower bound to the average variance of supplemented contrasts is obtained.
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作者:TAYLOR, CC
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作者:WHITTEMORE, AS; HALPERN, J
摘要:We present a test for the hypothesis that odds-ratios are constant across two or more diseases, using matched case-control data. The test requires less computing than the usual conditional likelihood score test (Prentice, 1979) because it excludes the control covariates. We give a practical algorithm to compute the test statistic and discuss its power.
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作者:AGRAWAL, MC; JAIN, N
作者单位:University of Delhi
摘要:A product estimator fo the population mean which is predictive in character is proposed. Although optimal in the sense of unbiasedness and minimum mean squared error under a certain superpopulation model, the estimator is frequently less biased than its competitors under a sampling theoretic approach.
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作者:STRUTHERS, CA; FAREWELL, VT
摘要:The use of a mixture model to estimate the probability of developing AIDS after HIV infection and the distribution of incubation time is investigated. The possibility of left truncation and an uncertain time of infection is incorporated into the analysis. The efficiency losses associated with uncertain infection times are investigated. An example is given.
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作者:FRYDENBERG, M; JENSEN, JL
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作者:BAGAI, I; DESHPANDE, JV; KOCHAR, SC
作者单位:Savitribai Phule Pune University; University of Iowa
摘要:The competing risks set-up is considered where an individual is subject to failure due to two independent competing risks. The available data consist of observed times to failure and the causes of failure. On the basis of this information, distribution-free tests are proposed for testing the equality of the two failure distributions against location, scale and general stochastic ordering alternatives. Locally most powerful rank tests are derived and a generalization of the Wilcoxon test has be...