-
作者：Balasubramanian, R; Lagakos, SW
作者单位：Harvard University; Harvard T.H. Chan School of Public Health
摘要：Sequentially-administered diagnostic tests used to determine the occurrence of a silent event are sometimes subject to error, leading to false positive and false negative test results. In such cases, standard methods for interval censored data do not give valid estimates of the distribution of the time to the event. We present methods for estimating the distribution of the time to the event that account for multiple types of imperfect diagnostic test, as well as differing periods at risk. We i...
-
作者：Holmes, CC; Adams, NM
作者单位：Imperial College London
摘要：Traditionally the neighbourhood size k in the k-nearest-neighbour algorithm is either fixed at the first nearest neighbour or is selected on the basis of a crossvalidation study. In this paper we present an alternative approach that develops the k-nearest-neighbour algorithm using likelihood-based inference. Our method takes the form of a generalised linear regression on a set of k-nearest-neighbour autocovariates. By defining the k-nearest-neighbour algorithm in this way we are able to extend...
-
作者：Chan, KS; Kristoffersen, AB; Stenseth, NC
作者单位：University of Iowa; University of Oslo; University of Oslo
摘要：We propose a Lagrange multiplier test for additivity based on the Burmann expansion of a conditional mean function. The asymptotic null distribution of the test is shown to be chi(2), under some regularity conditions. In contrast; the Lagrange multiplier test proposed by Chen et al. (1995) is based on the Volterra expansion of-the conditional mean function. We discuss some desirable advantages of the Burmann expansion over the Volterra expansion for nonlinear time series modelling. We also rep...
-
作者：Schlather, M; Tawn, JA
作者单位：University of Bayreuth; Lancaster University
摘要：We present properties of a dependence measure that arises in the study of extreme values in multivariate and spatial problems. For multivariate problems the dependence measure characterises dependence at the bivariate level, for all pairs and all higher orders up to and including the dimension of the variable. Necessary and sufficient conditions are given for subsets of dependence measures to be self-consistent, that is to guarantee the existence of a distribution with such a subset of values ...
-
作者：Ma, RJ; Krewski, D; Burnett, RT
作者单位：University of New Brunswick; University of Ottawa; Health Canada
摘要：We propose a Poisson modelling approach to nested random effects Cox proportional hazards models. An important feature of this approach is that the principal results depend only on the first and second moments of the unobserved random effects. The orthodox best linear unbiased predictor approach to random effects Poisson modelling techniques enables us to justify appropriate consistency and optimality. The explicit expressions for the random effects given by our approach facilitate incorporati...
