Titlebook: Statistical Models in Epidemiology, the Environment, and Clinical Trials; M. Elizabeth Halloran,Donald Berry Conference proceedings 2000 S

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Estimation of Disease Rates in Small Areas: A new Mixed Model for Spatial Dependence,nce. The new dependence structure is incorporated into a generalized linear mixed model useful for the estimation of disease incidence rates in small geographic regions. The mixed model allows for log-linear covariate adjustment and local smoothing of rates through estimation of the spatially correl

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A Simulation Study of the Epidemiological Impact of Air Pollution: Diagnostics of the Confounding Ehe estimated coefficients in a generalized linear model. The study also shows how this impact changes with the ranges of the covariates and the sample size. There is qualitative agreement between the study results and the corresponding expressions for the large-sample limit in the ordinary linear mo

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The Use of Reference Priors and Bayes Factors in the Analysis of Clinical Trials,applying Bayesian methods relatively easy, so now as a discipline we can step back and contemplate what these new tools will allow us to do with respect to the theoretical foundations of our work, and if desired, adjust our actions accordingly. The foundational issues that this paper will address ar

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A Simulation Study of the Epidemiological Impact of Air Pollution: Diagnostics of the Confounding E. The main effect of confounding for model overfit is a reduction in the significance of the estimated coefficients. The effect of model underfit or misfit, on the other hand, leads to not only erroneous estimated coefficients, but a misguided confidence that the estimated coefficients are significant.