Space-time Bayesian small area disease risk models: development and evaluation with a focus on cluster detection [0.03%]
时空贝叶斯小型区域疾病风险模型的发展与评价及其在疾病聚集检测中的应用
Md Monir Hossain,Andrew B Lawson
Md Monir Hossain
This paper extends the spatial local-likelihood model and the spatial mixture model to the space-time (ST) domain. For comparison, a standard random effect space-time (SREST) model is examined to allow evaluation of each model's ability in ...
Ronald E Gangnon
Ronald E Gangnon
The spatial scan statistic is a widely applied tool for cluster detection. The spatial scan statistic evaluates the significance of a series of potential circular clusters using Monte Carlo simulation to account for the multiplicity of comp...
Bootstrap methods for simultaneous benchmark analysis with quantal response data [0.03%]
用于定性反应数据的同时基准分析的引导方法
R Webster West,Daniela K Nitcheva,Walter W Piegorsch
R Webster West
A primary objective in quantitative risk assessment is the characterization of risk which is defined to be the likelihood of an adverse effect caused by an environmental toxin or chemcial agent. In modern risk-benchmark analysis, attention ...
Confidence limits on one-stage model parameters in benchmark risk assessment [0.03%]
基准风险评估中一次性模型参数的可信限区间大小分析
Brooke E Buckley,Walter W Piegorsch,R Webster West
Brooke E Buckley
In modern environmental risk analysis, inferences are often desired on those low dose levels at which a fixed benchmark risk is achieved. In this paper, we study the use of confidence limits on parameters from a simple one-stage model of ri...
Lance A Waller
Lance A Waller
The three papers included in this special issue represent a set of presentations in an invited session on disease ecology at the 2005 Spring Meeting of the Eastern North American Region of the International Biometric Society. The papers eac...
Accounting for rate instability and spatial patterns in the boundary analysis of cancer mortality maps [0.03%]
考虑率不稳定性和空间模式的癌症死亡地图边界分析会计学
Pierre Goovaerts
Pierre Goovaerts
Boundary analysis of cancer maps may highlight areas where causative exposures change through geographic space, the presence of local populations with distinct cancer incidences, or the impact of different cancer control methods. Too often,...
Geoff M Jacquez,Andy Kaufmann,Pierre Goovaerts
Geoff M Jacquez
This paper develops and applies new techniques for the simultaneous detection of boundaries and clusters within a probabilistic framework. The new statistic "little b" (written b(ij)) evaluates boundaries between adjacent areas with differe...