Another view of cholesterol screening.
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Biomedical subjects
Publications and source records attributed to A Staines.
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Forty-eight children with acute lymphoblastic leukaemia (ALL) who presented to the Oncology Department of Our Lady's Hospital for Sick Children, Crumlin, Dublin over a 52 month period were treated using a schedule modified from the BFM-81 protocol. All patients achieved remission within four weeks. With a minimum follow up period of 18 months, actuarial disease free survival was 68% and overall survival 75%. Mean hospital stay throughout the treatment period was 31 days. While these results represent an improvement in overall survival compared with historical controls, careful selection of risk categories will be the major aim of future studies so that more appropriate treatment can be instituted for high risk patients while minimising therapy for low risk disease.
This description of a survey is not intended to give a blow-by-blow account of what was found or the significance of the result, since this would only be of any relevance to the medical school in which the survey was conducted. Rather it is intended to give a description of what was done and why it was done, for medical students in other schools who wish to conduct a similar inquiry. The initial indication that a survey was required was the establishment in the medical school of a curriculum review group. It was felt that rather than airing the group's own views, or impressions of what other students' views were, it would be advisable to find out exactly how students felt. To this end the survey was conducted.
In this paper we discuss a number of issues that are pertinent to the analysis of disease mapping data. As an illustrative example we consider the mapping of larynx cancer across electoral wards in the North West Thames region of the U.K. Bayesian hierarchical models are now frequently employed to carry out such mapping. In a typical situation, a three-stage hierarchical model is specified in which the data are modelled as a function of area-specific relative risks at stage one; the collection of relative risks across the study region are modelled at stage two; and at stage three prior distributions are assigned to parameters of the stage two distribution. Such models allow area-specific disease relative risks to be 'smoothed' towards global and/or local mean levels across the study region. However, these models contain many structural and functional assumptions at different levels of the hierarchy; we aim to discuss some of these assumptions and illustrate their sensitivity. When relative risks are the endpoint of interest, it is common practice to assume that, for each of the age-sex strata of a particular area, there is a common multiplier (the relative risk) acting upon each of the stratum-specific risks in that area; we will examine this proportionality assumption. We also consider the choices of models and priors at stages two and three of the hierarchy, the effect of outlying areas, and an assessment of the level of smoothing that is being carried out. For inference, we concentrate on the description of the spatial variability in relative risks and on the association between the relative risks of larynx cancer and an area-level measure of socio-economic status.