923 resultados para Linear Matrix Inequalities
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BACKGROUND: We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric measurements. METHODS: Study subjects were participants in WHO-MONICA population-based surveys conducted in two Swiss regions. Outcome variables were based on the total serum cholesterol to high density lipoprotein cholesterol ratio. The other potential predictor variables were gender, age, current cigarette smoking, and hypertension. The models investigated were: (i) linear regression; (ii) logistic classification; (iii) regression trees; (iv) classification trees (iii and iv are collectively known as "CART"). Binary classification performance of the region-specific models was externally validated by classifying the subjects from the other region. RESULTS: Waist-to-hip circumference ratio and body mass index remained modest predictors of dyslipidemia. Correct classification rates for all models were 60-80%, with marked gender differences. Gender-specific models provided only small gains in classification. The external validations provided assurance about the stability of the models. CONCLUSIONS: There were no striking differences between either the algebraic (i, ii) vs. non-algebraic (iii, iv), or the regression (i, iii) vs. classification (ii, iv) modeling approaches. Anticipated advantages of the CART vs. simple additive linear and logistic models were less than expected in this particular application with a relatively small set of predictor variables. CART models may be more useful when considering main effects and interactions between larger sets of predictor variables.
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Exploring and using summary measures of inequality often used in economics such as Gini Coefficients and Theil Index to summarise and compare intra-PCT health inequalities
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This briefing describes inequalities in access to revascularisation using data from both the NHS and the independent sector.
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This document describes the methodology for examining inequalities in access to revascularisation in the NHS and in the independent sector. It is a technical report.
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Inequality reports from the London Health Observatory from 1996 to 2010.
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This paper describes the data and methods used in the London health inequalities forecast: A briefing on inequalities in life expectancy and deaths from cancers, heart disease and stroke in London. Links to relevant data sources and further information are also provided where possible.
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This briefing considers the national health inequalities targets which must be met by 2010. The targets include those set for heart disease and stroke, cancers and life expectancy.
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This tool contains the data for the LHO briefing "The London Health Inequalities Forecast: A briefing on inequalities in life expectancy and deaths from cancers, heart disease and stroke in London". The tool enables local areas to monitor their progress towards the national health inequalities targets for life expectancy, mortality from heart disease and stroke, and mortality from cancers.
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This document answers some common questions about the use of the Spearhead Health Inequalities Intervention Tool.
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This document describes the technical detail behind the Spearhead Health Inequalities Intervention Tool.
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This tool is designed to support Primary Care Trusts with their Local Delivery Planning and commissioning
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This review was established to consider why, despite a general improvement in infant mortality rates, health inequalities in infant mortality between different social groups remain. It identifies a range of issues and makes recommendations relevant to the health inequalities 2010 PSA target. Its recommendations are being shared with the NHS and others before the department issues further guidance.
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This study reveals a picture of inequalities in infant mortality across London.
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This report explores the factors that contribute to infant mortality in the capital and ways in which commissioners might monitor the contribution of their local NHS to the national infant mortality target as well as contributing to maternity policy.
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The APHO Health Inequalities Tool provides health and local authorities with the information they need to reduce health inequalities in their local community. For the first time they will have hard-edged evidence at their fingertips that tells them the causes of their life expectancy gap and quantifies the impact of local actions