Mixed model for analyzing geographic variability in mortality rates

"A mixed model is proposed for the analysis of geographic variability in mortality rates. In addition to demographic parameters and random geographic parameters, the model includes additional random-effects parameters to adjust for extra-Poisson variability. The model uses a gamma-Poisson distribution with a random scale parameter having an inverse gamma prior. An empirical Bayes approach is used to estimate relative risks for geographic regions and annual rates for demographic groups within each region. Lung cancer in Missouri is used to motivate and illustrate the procedure."     

Covariate Adjusted Correlation Analysis via Varying Coefficient Models

Abstract.  We propose covariate adjusted correlation (Cadcor) analysis to target the correlation between two hidden variables that are observed after being multiplied by an unknown function of a common observable confounding variable. The distorting effects of this confounding may alter the correlation relation between the hidden variables. Covariate adjusted correlation analysis enables consistent estimation of this correlation, by targeting the definition of correlation through the slopes of the regressions of the hidden variables on each other and by establishing a connection to varying-coefficient regression. The asymptotic distribution of the resulting adjusted correlation estimate is established. These distribution results, when combined with proposed consistent estimates of the asymptotic variance, lead to the construction of approximate confidence intervals and inference for adjusted correlations. We illustrate our approach through an application to the Boston house price data. Finite sample properties of the proposed procedures are investigated through a simulation study.     

Computer integrated manufacturing applications in an automotive factory

Abstract

System integration is critical to development and implementation of CIM (computer integrated manufacture). This paper outlines the elements of the CIM system implementation strategy and deals with the representation of CIM implementation stages in TO FAS; which is a car manufacturing factory. In TOFA?, a pilot CIM project has been completed with success and other projects are in the development phase.     

Cost-benefit analysis—a critique

This paper surveys some of the main criticisms of cost-benefit analysis (CBA) that have emerged over the years. It is noted in passing that views on what type of technique CBA really is, or should be, have differed and continue to differ depending on the set of value judgements used. We emphasise that the more recent suggested extensions to or modifications of CBA have sought to make the technique more comprehensive (i.e. to include distributional, environmental quality and other objectives as well as economic efficiency) at the inevitable cost of a loss of precision. The underlying principles of CBA are examined and the problems of multiple objective planning highlighted. Valuation problems are analysed, in particular with regard to amenity and environmental effects. Finally, the issues of uncertainty, irreversibility and intergenerational equity are raised briefly to indicate the complexity of the decision-making task when large-scale technologically advanced projects have to be appraised. In conclusion it is argued that CBA presented in a disaggregated format, as a comprehensive method for the ordering of information and a testing procedure for a range of valuations can perform a useful role in the decision-making process. The term ‘policy analysis’ is probably a better one for this broader view of the use of CBA. Ultimately we seem to be searching for a synthesis of the participatory and the traditional (technocratic) style of decision-making though we have a long and difficult course to chart before we even approach such a goal.