Results 151 to 160 of about 6,812,139 (213)
Specialist referrals and diagnostic delays in motor neurone disease: Mapping patients' journey through hoops and hurdles in healthcare. [PDF]
Clin Med (Lond)Reynolds SJ, Chhetri SK.
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An introduction to bayesian spatial smoothing methods for disease mapping: modeling county firearm suicide mortality rates. [PDF]
Am J EpidemiolGause EL +5 more
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Ophthalmic Paediatrics and Genetics, 1992
In this review the authors first give an overview of the general strategies of mapping which differ whether the biochemical (molecular) defect of the disease is known or not. The main problems besides mapping are concerned for the first category with the correlation between mutation and phenotype and for the second, with heterogeneity, genetic vs ...
J, Frézal, J, Kaplan, H, Dollfus
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In this review the authors first give an overview of the general strategies of mapping which differ whether the biochemical (molecular) defect of the disease is known or not. The main problems besides mapping are concerned for the first category with the correlation between mutation and phenotype and for the second, with heterogeneity, genetic vs ...
J, Frézal, J, Kaplan, H, Dollfus
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Estimation in Bayesian Disease Mapping
Biometrics, 2004SummaryRecent work on Bayesian inference of disease mapping models discusses the advantages of the fully Bayesian (FB) approach over its empirical Bayes (EB) counterpart, suggesting that FB posterior standard deviations of small‐area relative risks are more reflective of the uncertainty associated with the relative risk estimation than counterparts ...
MacNab, Ying C. +3 more
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Statistics in Medicine, 2001
AbstractThe analysis of the geographical distribution of disease incidence or prevalence is now of considerable importance for public health workers and epidemiologists alike. Important disease variations often have a spatial expression and so spatial analysis methods are an important additional tool in this connection. In this tutorial I have aimed to
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AbstractThe analysis of the geographical distribution of disease incidence or prevalence is now of considerable importance for public health workers and epidemiologists alike. Important disease variations often have a spatial expression and so spatial analysis methods are an important additional tool in this connection. In this tutorial I have aimed to
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2019
Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period ...
Miguel A. Martinez-Beneito +1 more
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Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period ...
Miguel A. Martinez-Beneito +1 more
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Approximate inference for disease mapping
Computational Statistics & Data Analysis, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laurie M. Ainsworth, Charmaine B. Dean
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