Estimating the hidden number of scrapie affected holdings in great Britain using a simple, truncated count model allowing for heterogeneity

None of the current surveillance streams monitoring the presence of scrapie in Great Britain provide a comprehensive and unbiased estimate of the prevalence of the disease at the holding level. Previous work to estimate the under-ascertainment adjusted prevalence of scrapie in Great Britain applied multiple-list capture-recapture methods. The enforcement of new control measures on scrapie-affected holdings in 2004 has stopped the overlapping between surveillance sources and, hence, the application of multiple-list capture-recapture models. Alternative methods, still under the capture-recapture methodology, relying on repeated entries in one single list have been suggested in these situations. In this article, we apply one-list capture-recapture approaches to data held on the Scrapie Notifications Database to estimate the undetected population of scrapie-affected holdings with clinical disease in Great Britain for the years 2002, 2003, and 2004. For doing so, we develop a new diagnostic tool for indication of heterogeneity as well as a new understanding of the Zelterman and Chao's lower bound estimators to account for potential unobserved heterogeneity. We demonstrate that the Zelterman estimator can be viewed as a maximum likelihood estimator for a special, locally truncated Poisson likelihood equivalent to a binomial likelihood. This understanding allows the extension of the Zelterman approach by means of logistic regression to include observed heterogeneity in the form of covariates-in case studied here, the holding size and country of origin. Our results confirm the presence of substantial unobserved heterogeneity supporting the application of our two estimators. The total scrapie-affected holding population in Great Britain is around 300 holdings per year. None of the covariates appear to inform the model significantly.

Application of one-list capture-recapture models to scrapie surveillance data in Great Britain

In this paper, we apply one-list capture-recapture models to estimate the number of scrapie-affected holdings in Great Britain. We applied this technique to the Compulsory Scrapie Flocks Scheme dataset where cases from all the surveillance sources monitoring the presence of scrapie in Great Britain, the abattoir survey, the fallen stock survey and the statutory reporting of clinical cases, are gathered. Consequently, the estimates of prevalence obtained from this scheme should be comprehensive and cover all the different presentations of the disease captured individually by the surveillance sources. Two estimators were applied under the one-list approach: the Zelterman estimator and Chao's lower bound estimator. Our results could only inform with confidence the scrapie-affected holding population with clinical disease; this moved around the figure of 350 holdings in Great Britain for the period under study, April 2005-April 2006. Our models allowed the stratification by surveillance source and the input of covariate information, holding size and country of origin. None of the covariates appear to inform the model significantly. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.

Recorded quadrant incidence of female breast cancer in Great Britain suggests a disproportionate increase in the upper outer quadrant of the breast

Background: The upper outer quadrant (UOQ) of the breast is the most frequent site for incidence of breast cancel; but the reported disproportionate incidence in this quadrant appears to rise with year of publication. Materials and Methods: In order to determine whether this increasing incidence in the UOQ is an artifact of different study populations or is chronological, data have been analysed for annual quadrant incidence of female breast cancer recorded nationally in England and Wales between 1979 and 2000 and in Scotland between 1980 and 2001. Results: In England and Wales, the recorded incidence of female breast cancer in the UOQ rose front 47.9% in 1979 to 53.3% in 2000, and has done so linearly over tune with a con-elation coefficient R of +/- 0.71 +/- SD 0.01 (p < 0.001). Analysis of independent data front Scotland showed a similar trend in that recorded female breast cancer had also increased in the UOQ from 38.3% in 1980 to 54.7% in 2001, with a con-elation coefficient R for the linear annual increase of +0.80 +/- SD 0.03 (p < 0.001). Conclusion: These results are inconsistent with current views that the high level of UOQ breast cancer is due solely to a greater amount of target epithelial tissue in that region. Identification of the reasons for such a disproportionate site-specific increase could provide clues as to causative factors in breast cancer.

Measuring construction industry competitiveness: A holistic approach

The link between competitiveness and sustained prosperity of a nation, industry or firm, is a well established argument and serves as the basis for making policy decisions and directing strategic change. The importance of construction industry competitiveness is currently receiving considerable attention from countries such as Finland, Sweden and the UK. This paper critically reviews the existing measures of competitiveness, challenges productivity and profitability as the dominant measures of construction industry competitiveness and introduces a more holistic set of measures that addresses the needs of investors, employees, clients and overall society. The research also reports upon the application of this more holistic set of measures for measuring competitiveness and presents results for the Swedish construction industry. The paper principally sets out to present the preliminary findings of an ongoing research project, which will eventually compare the competitiveness of the Swedish construction industry with that of Finland and the UK.

The construction industry and its resources: a research agenda

The desirable coverage of the journal is considered including the need to focus on research which can lead to positive action. Criteria for establishing the desirability of research projects are proposed and these are then applied first, to four broad issues and, secondly, to the inputs and other requirements for a well functioning industry. Some conclusions are drawn as to the research most likely to enable action to be taken to improve the industry. It is found that certain other difficulties can sometimes be dealt with by experimentation with actual projects or, where there is consensus on desirable action, by bringing pressure to bear on those able to initiate change.

Developing a system for assessing the costs associated with different procurement routes in the construction industry

In developing techniques for monitoring the costs associated with different procurement routes, the central task is disentangling the various project costs incurred by organizations taking part in construction projects. While all firms are familiar with the need to analyse their own costs, it is unusual to apply the same kind of analysis to projects. The purpose of this research is to examine the claims that new, ways of working such as strategic alliancing and partnering bring positive business benefits. This requires that costs associated with marketing, estimating, pricing, negotiation of terms, monitoring of performance and enforcement of contract are collected for a cross-section of projects under differing arrangements, and from those in the supply, chain from clients to consultants, contractors, subcontractors and suppliers. Collaboration with industrial partners forms the basis for developing a research instrument, bused on time sheets, which will be relevant for all those taking part in the work. The signs are that costs associated with,with tendering are highly variable, 1-15%, depending upon what precisely, is taken into account. The research to date reveals that there are mechanisms for measuring the costs of transactions and these will generate useful data for subsequent analysis.