973 resultados para MISSING VALUE ESTIMATION
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In April 2000, Deloitte & Touche in conjunction with the York Health Economics Consortium were chosen by The Department of Health & Children to carry out an examination of the health services over the past ten years Download the Report here
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Despite the central role of quantitative PCR (qPCR) in the quantification of mRNA transcripts, most analyses of qPCR data are still delegated to the software that comes with the qPCR apparatus. This is especially true for the handling of the fluorescence baseline. This article shows that baseline estimation errors are directly reflected in the observed PCR efficiency values and are thus propagated exponentially in the estimated starting concentrations as well as 'fold-difference' results. Because of the unknown origin and kinetics of the baseline fluorescence, the fluorescence values monitored in the initial cycles of the PCR reaction cannot be used to estimate a useful baseline value. An algorithm that estimates the baseline by reconstructing the log-linear phase downward from the early plateau phase of the PCR reaction was developed and shown to lead to very reproducible PCR efficiency values. PCR efficiency values were determined per sample by fitting a regression line to a subset of data points in the log-linear phase. The variability, as well as the bias, in qPCR results was significantly reduced when the mean of these PCR efficiencies per amplicon was used in the calculation of an estimate of the starting concentration per sample.
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Value for Money Report – The Efficiency and Effectiveness of Long-Stay Residential Care for Adults within the Mental Health Services Executive Summary and Contents PDF 164kb Chapters 1 and 2 – Introduction and Service Objectives PDF 504kb Chapter 3 plus annexes – Service Effectiveness and Efficiency PDF 3.7mb Chapter 4 – Service Resources PDF 2.4mb Chapters 5, 6 and 7 – Future Funding and Alternative Approaches, Key Performance Indicators, Conclusions and Recommendations PDF 2.4mb Appendices 1 to 6
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Rapport de synthèse: Les rendez-vous manqués représentent un problème important, tant du point de vue de la santé des patients que du point de vue économique. Pourtant peu d'études se sont penchées sur le sujet, particulièrement dans une population d'adolescents. Les buts de cette étude étaient de caractériser les adolescents qui sont à risque de manquer ou d'annuler leurs rendez-vous dans une clinique ambulatoire de santé pour adolescents, de comparer les taux des rendez-vous manqués et annulés entre les différents intervenants et d'estimer l'efficacité d'une politique de taxation des rendez-vous manqués non excusés. Finalement, un modèle multi-niveau markovien a été utilisé afin de prédire le risque de manquer un rendez-vous. Ce modèle tient compte du passé de l'adolescent en matière de rendez-vous manqués et d'autres covariables et permet de grouper les individus ayant un comportement semblable. On peut ensuite prédire pour chaque groupe le risque de manquer ou annuler et les covariables influençant significativement ce risque. Entre 1999 et 2006, 32816 rendez-vous fixés pour 3577 patients âgés de 12 à 20 ans ont été analysés. Le taux de rendez-vous manqués était de 11.8%, alors que 10.9% avaient été annulés. Soixante pour cent des patients n'ont pas manqué un seul de leur rendezvous et 14% en ont manqué plus de 25%. Nous avons pu mettre en évidence plusieurs variables associées de manière statistiquement significative avec les taux de rendez-vous manqués et d'annulations (genre, âge, heure, jour de la semaine, intervenant thérapeutique). Le comportement des filles peut être catégorisé en 2 groupes. Le premier groupe inclut les diagnostiques psychiatriques et de trouble du comportement alimentaire, le risque de manquer dans ce groupe étant faible et associé au fait d'avoir précédemment manqué un rendez-vous et au délai du rendez-vous. Les autres diagnostiques chez les filles sont associés à un second groupe qui montre un risque plus élevé de manquer un rendez-vous et qui est associé à l'intervenant, au fait d'avoir précédemment manqué ou annulé le dernier rendez-vous et au délai du rendez-vous. Les garçons ont tous globalement un comportement similaire concernant les rendez-vous manqués. Le diagnostic au sein de ce groupe influence le risque de manquer, tout comme le fait d'avoir précédemment manqué ou annulé un rendez-vous, le délai du rendez-vous et l'âge du patient. L'introduction de la politique de taxation des rendez-vous non excusés n'a pas montré de différence significative des tàux de rendez-vous manqués, cependant cette mesure a permis une augmentation du taux d'annulations. En conclusion, les taux de présence des adolescents à leurs rendez-vous sont dépendants de facteurs divers. Et, même si les adolescents sont une population à risque concernant les rendez-vous manqués, la majorité d'entre eux ne manquent aucun de leurs rendez-vous, ceci étant vrai pour les deux sexes. Etudier les rendez-vous manqués et les adolescents qui sont à risque de rater leur rendez-vous est un pas nécessaire vers le contrôle de ce phénomène. Par ailleurs, les moyens de contrôle concernant les rendez-vous manqués devraient cibler les patients ayant déjà manqué un rendez-vous. La taxation des rendez-vous manqués permet d'augmenter les rendez-vous annulés, ce qui a l'avantage de permettre de fixer un nouveau rendez-vous et, de ce fait, d'améliorer la continuité des soins.
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This Review is an evaluation of the efficiency and effectiveness of the HSE-funded statutory and non-statutory disability services in Ireland. It was conducted by the Department of Health and the HSE under the auspices of the Governmentâ?Ts programme of Value for Money Reviews for 2009-2011. It makes a range of recommendations about how these services should be structured. www.dohc.ie/press/releases/2012/20120720.html Click here to download PDF 3.7mb Value for Money and Policy Review of the Disability Services Programme – Recommendation PDF 205kb Value for Money and Policy Review of the Disability Services Programme – Questions & Answers PDF 44kb Value for Money and Policy Review of the Disability Services Programme – Questions & Answers PDF 151kb Â
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We have established H-2D(d)-transgenic (Tg) mice, in which H-2D(d) expression can be extinguished by Cre recombinase-mediated deletion of an essential portion of the transgene (Tg). NK cells adapted to the expression of the H-2D(d) Tg in H-2(b) mice and acquired reactivity to cells lacking H-2D(d), both in vivo and in vitro. H-2D(d)-Tg mice crossed to mice harboring an Mx-Cre Tg resulted in mosaic H-2D(d) expression. That abrogated NK cell reactivity to cells lacking D(d). In D(d) single Tg mice it is the Ly49A+ NK cell subset that reacts to cells lacking D(d), because the inhibitory Ly49A receptor is no longer engaged by its D(d) ligand. In contrast, Ly49A+ NK cells from D(d) x MxCre double Tg mice were unable to react to D(d)-negative cells. These Ly49A+ NK cells retained reactivity to target cells that were completely devoid of MHC class I molecules, suggesting that they were not anergic. Variegated D(d) expression thus impacts specifically missing D(d) but not globally missing class I reactivity by Ly49A+ NK cells. We propose that the absence of D(d) from some host cells results in the acquisition of only partial missing self-reactivity.
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The National Implementation Framework describes how the recommendations from the Value for Money (VFM) and Policy Review of the Disability Services Programme will be translated into concrete actions. It assigns responsibilities for those actions, and specifies timelines for their completion. It also identifies priorities and key performance indicators. The Framework describes how these reforms can be achieved in a planned, timely and cost effective manner. Click here to download (PDF 876KB)
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This Value for Money and Policy Review (VFM&PR) of the Economic Cost and Charges Associated with Private and Semi-Private Treatment Services in Public Hospitals was initiated by the Department of Health and Children in June 2009 and was conducted under the auspices of the Governmentâ?Ts Value for Money & Policy Review Initiative 2009-2011. The Review was overseen by an independently chaired National Steering Group comprised of senior representatives from the Department of Health and Children, the Department of Finance, and the Health Service Executive (HSE). Download document here Download Explanatory Note Â
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This report sets out a revised costing methodology and an estimate of the gap which currently exists between private and semi-private bed charges and the average economic cost. While the Steering Group considers the costing methodology proposed as an improvement on the approach taken in previous years and a good overall approximation of the difference on average between economic costs and current charges, it recognises that the current charging regime does not take sufficient account of the variation between different categories of patient. Download document here Note to Readers
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This report is a Value for Money (VFM) evaluation, conducted by the National Hospitals Office (NHO) of the Health Service Executive (HSE) on the allocation and utilisation of funding for expenditure in the Southern Hospitals Group (SHG) in 2006. The SHG consists of nine hospitals in the HSE South region. The 2006 expenditure for the SHG covered by the evaluation was 590.1 million. Performance trends were studied over the period 2004 to 2006. Download document here Value for Money & Policy Review of Allocation & Utilisation of Funding in Acute Services in the Southern Hospitals Group (in 2006) – Department of Health and Children Response & Implementation Plan
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Analyzing the relationship between the baseline value and subsequent change of a continuous variable is a frequent matter of inquiry in cohort studies. These analyses are surprisingly complex, particularly if only two waves of data are available. It is unclear for non-biostatisticians where the complexity of this analysis lies and which statistical method is adequate.With the help of simulated longitudinal data of body mass index in children,we review statistical methods for the analysis of the association between the baseline value and subsequent change, assuming linear growth with time. Key issues in such analyses are mathematical coupling, measurement error, variability of change between individuals, and regression to the mean. Ideally, it is better to rely on multiple repeated measurements at different times and a linear random effects model is a standard approach if more than two waves of data are available. If only two waves of data are available, our simulations show that Blomqvist's method - which consists in adjusting for measurement error variance the estimated regression coefficient of observed change on baseline value - provides accurate estimates. The adequacy of the methods to assess the relationship between the baseline value and subsequent change depends on the number of data waves, the availability of information on measurement error, and the variability of change between individuals.
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Natural selection is typically exerted at some specific life stages. If natural selection takes place before a trait can be measured, using conventional models can cause wrong inference about population parameters. When the missing data process relates to the trait of interest, a valid inference requires explicit modeling of the missing process. We propose a joint modeling approach, a shared parameter model, to account for nonrandom missing data. It consists of an animal model for the phenotypic data and a logistic model for the missing process, linked by the additive genetic effects. A Bayesian approach is taken and inference is made using integrated nested Laplace approximations. From a simulation study we find that wrongly assuming that missing data are missing at random can result in severely biased estimates of additive genetic variance. Using real data from a wild population of Swiss barn owls Tyto alba, our model indicates that the missing individuals would display large black spots; and we conclude that genes affecting this trait are already under selection before it is expressed. Our model is a tool to correctly estimate the magnitude of both natural selection and additive genetic variance.
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Species distribution models (SDMs) studies suggest that, without control measures, the distribution of many alien invasive plant species (AIS) will increase under climate and land-use changes. Due to limited resources and large areas colonised by invaders, management and monitoring resources must be prioritised. Choices depend on the conservation value of the invaded areas and can be guided by SDM predictions. Here, we use a hierarchical SDM framework, complemented by connectivity analysis of AIS distributions, to evaluate current and future conflicts between AIS and high conservation value areas. We illustrate the framework with three Australian wattle (Acacia) species and patterns of conservation value in Northern Portugal. Results show that protected areas will likely suffer higher pressure from all three Acacia species under future climatic conditions. Due to this higher predicted conflict in protected areas, management might be prioritised for Acacia dealbata and Acacia melanoxylon. Connectivity of AIS suitable areas inside protected areas is currently lower than across the full study area, but this would change under future environmental conditions. Coupled SDM and connectivity analysis can support resource prioritisation for anticipation and monitoring of AIS impacts. However, further tests of this framework over a wide range of regions and organisms are still required before wide application.