Spatial Cluster Detection in Archaeology: Current Theory and Practice

2015 ◽  
pp. 366-382 ◽  
Keyword(s):  
Current Theory ◽  
Spatial Cluster ◽  
Theory And Practice ◽  
Cluster Detection

Statistical methods for spatial cluster detection in childhood cancer incidence: A simulation study

2021 ◽  
Vol 70 ◽  
pp. 101873
Author(s):  
Michael M. Schündeln ◽  
Toni Lange ◽  
Maximilian Knoll ◽  
Claudia Spix ◽  
Hermann Brenner ◽  
...  
Keyword(s):  
Childhood Cancer ◽  
Statistical Methods ◽  
Cancer Incidence ◽  
Simulation Study ◽  
Spatial Cluster ◽  
Cluster Detection

scholarly journals sparrpowR: a flexible R package to estimate statistical power to identify spatial clustering of two groups and its application

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ian D. Buller ◽  
Derek W. Brown ◽  
Timothy A. Myers ◽  
Rena R. Jones ◽  
Mitchell J. Machiela
Keyword(s):  
Relative Risk ◽  
Statistical Power ◽  
Risk Function ◽  
R Package ◽  
Cancer Epidemiology ◽  
Spatial Cluster ◽  
Cluster Detection ◽  
Detection Technique ◽  
Power Calculation ◽  
Spatial Clusters

Abstract Background Cancer epidemiology studies require sufficient power to assess spatial relationships between exposures and cancer incidence accurately. However, methods for power calculations of spatial statistics are complicated and underdeveloped, and therefore underutilized by investigators. The spatial relative risk function, a cluster detection technique that detects spatial clusters of point-level data for two groups (e.g., cancer cases and controls, two exposure groups), is a commonly used spatial statistic but does not have a readily available power calculation for study design. Results We developed sparrpowR as an open-source R package to estimate the statistical power of the spatial relative risk function. sparrpowR generates simulated data applying user-defined parameters (e.g., sample size, locations) to detect spatial clusters with high statistical power. We present applications of sparrpowR that perform a power calculation for a study designed to detect a spatial cluster of incident cancer in relation to a point source of numerous environmental emissions. The conducted power calculations demonstrate the functionality and utility of sparrpowR to calculate the local power for spatial cluster detection. Conclusions sparrpowR improves the current capacity of investigators to calculate the statistical power of spatial clusters, which assists in designing more efficient studies. This newly developed R package addresses a critically underdeveloped gap in cancer epidemiology by estimating statistical power for a common spatial cluster detection technique.

scholarly journals Preparing Teachers of English Language Learners: Empirical Evidence and Policy Implications

2013 ◽  
Vol 21 ◽  
pp. 20 ◽  
Author(s):  
Francesca López ◽  
Martin Scanlan ◽  
Becky Gundrum
Keyword(s):  
English Language Learners ◽  
Language Learners ◽  
English Language ◽  
Current Theory ◽  
English Language Development ◽  
Theory And Practice ◽  
Policy Implications ◽  
Teacher Education Programs ◽  
Reading Outcomes ◽  
Level Of Training

In this study, we examined the degree to which the requirements in each state’s teacher education programs reflect current theory and practice for teachers of ELLs in their coursework, and how these requirements in turn are related to 4th grade Hispanic ELL’s reading outcomes on the National Assessment of Educational Progress. We found that required coursework on English language development and assessment were positively related to Hispanic ELLs' reading outcomes. Moreover, states that require both specialist certification, and all teachers to have some level of training to meet the needs of ELLs, also tend to have higher levels of achievement than states that do not have these requirements.

scholarly journals Urban Gardening in the Crisis Conjuncture

2016 ◽  
Vol 4 (1) ◽  
pp. 167-172
Author(s):  
Christopher Maughan ◽  
Christopher Maughan
Keyword(s):  
Food Systems ◽  
Food System ◽  
Urban Community ◽  
Research Area ◽  
Current Theory ◽  
Theory And Practice ◽  
Alternative Food ◽  
Critical Studies ◽  
Urban Gardening ◽  
Alternative Food Movements

Urban gardening finds itself at a juncture – not only are crises caused and exacerbated by the industrial food system urgently demonstrating the need for more localised, sustainable, and democratically-determined food systems, but alternative food movements are increasingly negotiating crises of their own. Critical Foodscapes was a one-day conference part-funded by Warwick’s Institute of Advanced Study (IAS) and the Food GRP. The conference was put together with the intention of bringing a ‘critical studies’ approach to the emerging research area of urban community food growing; namely, to put critical – but constructive – pressure on some of the assumptions which underlie current theory and practice of the various forms of urban food growing. This article offers some reflections on the conference itself as well as on the prospects for urban gardening more generally.

A Haplotype Analysis System for Genes Discovery of Common Diseases

2011 ◽  
pp. 590-604
Author(s):  
Takashi Kido
Keyword(s):  
Haplotype Analysis ◽  
Complex Disease ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Current Theory ◽  
Theory And Practice ◽  
Discovery Research ◽  
Common Diseases ◽  
The Common ◽  
Analysis System

This chapter introduces computational methods for detecting complex disease loci with haplotype analysis. It argues that the haplotype analysis, which plays a major role in the study of population genetics, can be computationally modeled and systematically implemented as a means for detecting causative genes of complex diseases. In this chapter, the author provides a review of issues on haplotype analysis and proposes the analysis system which integrates a comprehensive spectrum of functions on haplotype analysis for supporting disease association studies. The explanation of the system and some real examples of the haplotype analysis will not only provide researchers with better understanding of current theory and practice of genetic association studies, but also present a computational perspective on the gene discovery research for the common diseases.

A Haplotype Analysis System for Genes Discovery of Common Diseases

2011 ◽  
pp. 214-230
Author(s):  
Takashi Kido
Keyword(s):  
Haplotype Analysis ◽  
Complex Disease ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Current Theory ◽  
Theory And Practice ◽  
Discovery Research ◽  
Common Diseases ◽  
The Common ◽  
Analysis System

This chapter introduces computational methods for detecting complex disease loci with haplotype analysis. It argues that the haplotype analysis, which plays a major role in the study of population genetics, can be computationally modeled and systematically implemented as a means for detecting causative genes of complex diseases. In this chapter, the author provides a review of issues on haplotype analysis and proposes the analysis system which integrates a comprehensive spectrum of functions on haplotype analysis for supporting disease association studies. The explanation of the system and some real examples of the haplotype analysis will not only provide researchers with better understanding of current theory and practice of genetic association studies, but also present a computational perspective on the gene discovery research for the common diseases.

Multiple source spatial cluster detection via multi-criteria analysis

2018 ◽  
Vol 25 (2) ◽  
pp. 257-275
Author(s):  
Alexandre C. L. Almeida ◽  
Luiz H. Duczmal ◽  
André L. F. Cançado ◽  
Fabio R. da Silva
Keyword(s):  
Spatial Cluster ◽  
Cluster Detection ◽  
Multiple Source ◽  
Multi Criteria Analysis

Spatial cluster detection in mobility networks: a copula approach

2018 ◽  
Vol 68 (1) ◽  
pp. 99-120 ◽  
Author(s):  
Heeyoung Kim ◽  
Rong Duan ◽  
Sungil Kim ◽  
Jaehwan Lee ◽  
Guang‐Qin Ma
Keyword(s):  
Spatial Cluster ◽  
Cluster Detection ◽  
Copula Approach
Sign in / Sign up

Export Citation Format

Share Document