-
作者：Jin, ZZ; Lin, DY; Wei, LJ; Ying, ZL
作者单位：Columbia University; Columbia University; Harvard University; University of North Carolina; University of North Carolina Chapel Hill
摘要：A broad class of rank-based monotone estimating functions is developed for the semi-parametric accelerated failure time model with censored observations. The corresponding estimators can be obtained via linear programming, and are shown to be consistent and asymptotically normal. The limiting covariance matrices can be estimated by a resampling technique, which does not involve nonparametric density estimation or numerical derivatives. The new estimators represent consistent roots of the non-m...
-
作者：Fried, R; Didelez, V
作者单位：Dortmund University of Technology; University of London; University College London
摘要：We derive conditions for decomposition and collapsibility of graphical interaction models for multivariate time series. These properties enable us to perform stepwise model selection under certain restrictions. For illustration, we apply the results to a multivariate time series describing the haemodynamic system as monitored in intensive care.
-
作者：Hoff, PD
作者单位：University of Washington; University of Washington Seattle
摘要：We discuss two methods of making nonparametric Bayesian inference on probability measures subject to a partial stochastic ordering. The first method involves a nonparametric prior for a measure on partially ordered latent observations, and the second involves rejection sampling. Computational approaches are discussed for each method, and interpretations of prior and posterior information are discussed. An application is presented in which inference is made on the number of independently segreg...
-
作者：Du, YL; Akritas, MG; Van Keilegom, I
作者单位：Columbia University; Universite Catholique Louvain; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：The fully nonparametric model for nonlinear analysis of covariance, proposed in Akritas et al. (2000), is considered in the context of censored observations. Under this model, the distributions for each factor level combination and covariate value are not restricted to comply to any parametric or semiparametric model. The data can be continuous or ordinal categorical. The possibility of different shapes of covariate effect in different factor level combinations is also allowed. This generality...
-
作者：Henderson, R; Shimakura, S
作者单位：Lancaster University; Universidade Federal do Parana
摘要：A Poisson-gamma model is introduced to account for between-subjects heterogeneity and within-subjects serial correlation occurring in longitudinal count data. The model extends the usual time-constant shared frailty approach to allow time-varying serially correlated gamma frailty whilst retaining standard marginal assumptions. A composite likelihood approach to estimation and testing for serial correlation is proposed. The work is motivated by a, clinical trial on patient-controlled analgesia ...
-
作者：Walker, S
作者单位：University of Bath
摘要：This paper contributes to the theory of Bayesian consistency for a sequence of posterior and predictive distributions arising from an independent and identically distributed sample. A new sufficient condition for posterior Hellinger consistency is presented which provides motivation for recent results appearing in the literature. Such motivation is important since current sufficient conditions are not known to be necessary. It also provides new insights into Bayesian consistency. A new consist...
-
作者：Müller, WG; Pázman, A
作者单位：Comenius University Bratislava
摘要：In this paper we consider optimal design of experiments in the case of correlated observations. We use and further develop the concept of design measures introduced by Pazman & Milller (1998) for the construction of a simple, quick and elegant design algorithm. We support the construction of this algorithm for a general correlation structure by an interpretation in terms of norms. Examples demonstrate that our results are useful for generating exact designs by sampling from the obtained design...
