Search Results - "Davies, Tilman M"
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Towards equitable scheduling of global health teleconferences: a spatial exploration of the world’s population and health by time zone
Published in BMJ open (30-05-2022)“…ObjectivesTo examine the world’s population, development, and health by condensed Coordinated Universal Time (UTC) offset to support a normative position on…”
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New tools for the investigation of muscle fiber-type spatial distributions across histological sections
Published in Skeletal muscle (22-04-2023)“…The functional and metabolic properties of skeletal muscles are partly a function of the spatial arrangement of fibers across the muscle belly. Many muscles…”
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Inference Based on Kernel Estimates of the Relative Risk Function in Geographical Epidemiology
Published in Biometrical journal (01-02-2009)“…Kernel smoothing is a popular approach to estimating relative risk surfaces from data on the locations of cases and controls in geographical epidemiology. The…”
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Fast computation of spatially adaptive kernel estimates
Published in Statistics and computing (01-07-2018)“…Kernel smoothing of spatial point data can often be improved using an adaptive, spatially varying bandwidth instead of a fixed bandwidth. However, computation…”
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Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk
Published in Statistics in medicine (30-03-2018)“…Kernel smoothing is a highly flexible and popular approach for estimation of probability density and intensity functions of continuous spatial data. In this…”
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Comment on Makino et al. and observations on spatial modeling
Published in Anatomical science international (01-09-2016)Get full text
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Risk signals of an influenza pandemic caused by highly pathogenic avian influenza subtype H5N1: Spatio-temporal perspectives
Published in The veterinary journal (1997) (01-06-2012)“…Highly pathogenic avian influenza (HPAI) subtype H5N1 is a trans-boundary animal disease that has crossed the animal–human species barrier and over the past…”
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Student injuries in the dissecting room
Published in Anatomical sciences education (01-11-2013)“…Cadaver dissection is the first opportunity for many students to practice handling human tissue and is their first exposure to the occupational hazards…”
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Diffusion Smoothing for Spatial Point Patterns
Published in Statistical science (01-02-2022)“…Traditional kernel methods for estimating the spatially-varying density of points in a spatial point pattern may exhibit unrealistic artefacts, in addition to…”
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The spatio-temporal distribution of COVID-19 infection in England between January and June 2020
Published in Epidemiology and infection (08-03-2021)“…The spatio-temporal dynamics of an outbreak provide important insights to help direct public health resources intended to control transmission. They also…”
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Pointwise comparison of two multivariate density functions
Published in Scandinavian journal of statistics (01-12-2022)“…Testing the equality of two density functions based on independent samples is a classical problem in statistics. While the focus is often on global equality,…”
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Adaptive kernel estimation of spatial relative risk
Published in Statistics in medicine (15-10-2010)“…Kernel smoothing is routinely used for the estimation of relative risk based on point locations of disease cases and sampled controls over a geographical…”
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A nearest‐neighbour Gaussian process spatial factor model for censored, multi‐depth geochemical data
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01-08-2022)“…We investigate the relationships between local environmental variables and the geochemical composition of the Earth in a region spanning over 26,000 km2 in the…”
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An evaluation of likelihood-based bandwidth selectors for spatial and spatiotemporal kernel estimates
Published in Journal of statistical computation and simulation (03-05-2019)“…Spatial point pattern data sets are commonplace in a variety of different research disciplines. The use of kernel methods to smooth such data is a flexible way…”
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Bayesian Inference and Data Augmentation Schemes for Spatial, Spatiotemporal and Multivariate Log-Gaussian Cox Processes in R
Published in Journal of statistical software (01-01-2015)“…Log-Gaussian Cox processes are an important class of models for spatial and spatiotemporal point-pattern data. Delivering robust Bayesian inference for this…”
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sparr : Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R
Published in Journal of statistical software (01-03-2011)“…The estimation of kernel-smoothed relative risk functions is a useful approach to examining the spatial variation of disease risk. Though there exist several…”
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On Circulant Embedding for Gaussian Random Fields in R
Published in Journal of statistical software (01-11-2013)“…The high-dimensionality typically associated with discretized approximations to Gaussian random fields is a considerable hinderance to computationally…”
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Modelling dichotomously marked muscle fibre configurations
Published in Statistics in medicine (30-10-2013)“…Human skeletal muscle consists of contractile elements (fibres) that may be differentiated according to their physiological and biochemical properties. The…”
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Application of kernel smoothing to estimate the spatio-temporal variation in risk of STEC O157 in England
Published in Spatial and spatio-temporal epidemiology (01-02-2020)“…Identifying geographical areas with significantly higher or lower rates of infectious diseases can provide important aetiological clues to inform the…”
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Jointly optimal bandwidth selection for the planar kernel-smoothed density-ratio
Published in Spatial and spatio-temporal epidemiology (01-06-2013)“…The kernel-smoothed density-ratio or 'relative risk' function for planar point data is a useful tool for examining disease rates over a certain geographical…”
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