作者：Lange, N
作者单位：Harvard University; Harvard Medical School; Harvard University; Harvard University Medical Affiliates; McLean Hospital
作者：Neuhaus, JM
作者单位：University of California System; University of California San Francisco
摘要：Although omitting covariates associated with the response in generalized linear models can yield seriously biased estimates of the effects of the included covariates, in certain settings there is no bias. This article considers the effect of omitted covariates on the efficiency of the estimated effects of the included covariates in these cases. I consider the case where the omitted covariate is independent of the included covariates, as in studies with randomized treatment assignment, as well ...
作者：Paul, SR; Banerjee, T
作者单位：University of Windsor; University of Calcutta
摘要：Multiple counts may occur in each cell of an a x b two-way layout (balanced or unbalanced) of two fixed factors A and B. Standard log-linear model analysis based on a Poisson distribution assumption of the cell counts is not applicable here, because of the unbalanced nature of the table or because the Poisson distribution assumption is not valid. We develop C(alpha) tests for interaction and main effects assuming data to be Poisson distributed and also assuming that data within the cells have ...
作者：Cook, RD; Croos-Dabrera, R
作者单位：University of Minnesota System; University of Minnesota Twin Cities; Clarkson University
摘要：In this article we explore the structure and usefulness of partial residual plots as tools for visualizing curvature as a function of selected predictors xa in a generalized linear model (GLM), where the vector of predictors x is partitioned as x(T) = (x(1)(T),x(2)(T)). The GLM extension of CERES plots is discussed, but to a lesser extent. The usefulness of these plots for obtaining a good visual impression of curvature may be limited by the specified GLM, the link function, and the stochastic...
