[PDF] Top 20 How does Poisson kriging compare to the popular BYM model for mapping disease risks?
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How does Poisson kriging compare to the popular BYM model for mapping disease risks?
... (BYM) model and Poisson kriging (point and area-to-area implementations) were applied to age-adjusted lung and cervix cancer mortality rates recorded for white females in two contrasted county ... See full document
25
Robustness of the BYM model in absence of spatial variation in the residuals
... a model including extra-Poisson variability to analyse data generated by a model where such extra-Poisson vari- ability does not exist conditionally on the covariates included in the ... See full document
8
Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson kriging
... developed Poisson kriging for mapping the relative abundance of species in the presence of spatially heterogeneous observation efforts and sparse animal ...a Poisson distribution replaces the ... See full document
33
Spatio Temporal Variation of HIV Infection in Kenya
... tio-temporal disease mapping is a research paper byKnorr-Held [16], which de- scribes four different types of space-time ...in disease mapping is based on the popular conditional ... See full document
20
Exploring the Association between Network, Cognitive, Structural Social Capital and the Risk of Clinical Depression in Taiwan
... neighboring disease rates thereby reducing the variance in the estimates (Venkatesan et al ...estimating disease risk in small areas as the direct estimates are likely to yield large variances because of ... See full document
96
How to Compare Treebanks
... question how to compare syntactically annotated corpora and gain insights into the usefulness of specific design ...and compare results using E VAL B, the Leaf-Ancestor metric, and a dependency-based ... See full document
8
Investigating Spatio Temporal Pattern of Relative Risk of Tuberculosis in Kenya Using Bayesian Hierarchical Approaches
... Ethics approval and consent to participate statements can be found on https://dhsprogram.com/What-We-Do/Protecting-the-Privacy-of-DHS-Survey- Respondents.cfm. Procedures and questionnaires for standard DHS surveys have ... See full document
23
Impact of etravirine on hospitalization rate between 2005 and 2011 among heavily treated HIV 1 infected individuals on failing regimens
... To compare the characteristics of exposed and unexposed individuals, a weighted Chi-square test was used, the weight being the duration of follow-up within each ... See full document
8
Social segregation in secondary schools: how does England compare with other countries?
... Decomposition of H by school track leads to between-group shares of total segregation of between 55 and 60 percent in all three countries high social position is defined as above the nat[r] ... See full document
38
Spatiotemporal analysis of particulate air pollution and ischemic heart disease mortality in Beijing, China
... The kriging method is a geo-statistical technique and also a weighted combination of monitor values that uses spatial autocorrelation among data to determine the weights ...that does not re- quire prior ... See full document
12
The Relationship Between Count-Location and Stationary Renewal Models for the Chiasma Process
... Sturt model and truncated Poisson model are both count-location models with this ...truncated Poisson model can also be expressed as a stationary renewal model, while the Sturt ... See full document
6
Multitier Web Application Analyzer For SQL Injection
... accurate model of mapping relationships between web request and database ...to-one mapping relationship between database queries and web request there can be many number of SQL queries for single web ... See full document
5
Developing the atlas of cancer in Queensland: methodological issues
... Modelling or smoothing methods are commonly used to generate robust estimates for small geographical areas. As traditional regression models are unable to incorporate spatial correlation, approaches which enable ... See full document
11
Video Retrieval in Sign Language Videos : How to Model and Compare Signs?
... Lidell and Johnson (Liddell and Johnson, 1990) pro- posed a multi-segmental sign model based on a temporal segmentation of the sign. In this formalism, a gesture is described as a sequence of hold and movement ... See full document
6
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
... A note on publishing incentives We express some concern that the recommended experimen- tal rigor might cut against current publishing in- centives. We speculate that papers introducing datasets may be more likely to be ... See full document
6
Exploratory disease mapping: kriging the spatial risk function from regional count data
... universal kriging, with overlaid ...universal kriging is based on the assumption that the spatial mean function of the data could be represented by an incomplete quadratic polyno- mial in the spatial ... See full document
11
Handling Overdispersion in Mortality Data in Time-Series Epidemiologic Research Using SAS Software
... An alternative approach to modelling overdispersion is to start from standard Poisson regression and add a random effect factor to represent unobserved heterogeneity. This is the characteristic of a negative ... See full document
10
PISA 2009 : how does the social attainment gap in England compare with countries internationally?
... to compare pupil attainment between participating countries after accounting for countries’ socio-economic ...can compare the average pupil attainment in each country for a pupil whose average ESCS matches ... See full document
21
Type I Error Assessment And Power Comparison Of Anova And Zero-Inflated Methods On Zero-Inflated Data
... Models designed for dealing with zero-inflated data exist, but they have not been compared to the results from using the standard ANOVA. Examples of zero-inflated models include hurdle, Tobit, and zero- inflated ... See full document
15
Kriging Geostatistical Methods for Travel Mode Choice: A Spatial Data Analysis to Travel Demand Forecasting
... two Kriging geostatistical methods to PM travel mode use is listed following: 1) Is to be highlighted that the considered regionalized variables are not natural (variables derive from a pre- vious data treatment ... See full document
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