Hierarchical and joint site-edge methods for medicare hospice service region boundary analysis.
Hierarchical and joint site-edge methods for medicare hospice service region boundary analysis.
复制标题
DOI：
10.1111/j.1541-0420.2009.01291.x
复制
发表时间：
2010-06
期刊：
影响因子：
1.9
通讯作者：
Banerjee S
中科院分区：
文献类型：
--
作者：
Ma H;Carlin BP;Banerjee S
临终关怀服务为临终病人提供了一个方便和道德上可取的医疗保健选择。然而，这一选择不适用于没有任何临终关怀系统服务的偏远地区的患者。在本文中，我们试图确定两个特定的癌症临终关怀系统在明尼苏达州东北部的服务领域，仅基于从医疗保险账单记录中提取的死亡人数。这个问题是空间边界分析的一个问题，这是一个在统计上对不规则区域（格点）数据似乎不发达的领域，尽管大多数公开的人类健康数据都是这类数据。在本文中，我们提出了各种层次模型的区域边界分析，分层或联合参数化的领域和边缘段。这就为我们的数据带来了在概念上有吸引力的解决方案，而这些方案在计算上仍然是可行的。虽然我们的方法与使用马尔可夫随机场的统计图像恢复的类似发展平行，但由于我们的网格的不规则性、我们的数据的稀疏性和高度可变性、重要的协变量信息的存在，以及最重要的是，我们希望在边界上进行完全后验推断，因此出现了重要的差异。我们的研究结果成功地划定了我们的两个明尼苏达州临终关怀系统，有时与临终关怀的自我报告的服务领域冲突的服务领域。我们还从拟合中获得了空间残差的边界，分离出因模型原因而不同但未被考虑的区域。
Hospice service offers a convenient and ethically preferable health care option for terminally ill patients. However, this option is unavailable to patients in remote areas not served by any hospice system. In this paper we seek to determine the service areas of two particular cancer hospice systems in northeastern Minnesota based only on death counts abstracted from Medicare billing records. The problem is one of spatial boundary analysis, a field that appears statistically underdeveloped for irregular areal (lattice) data, even though most publicly available human health data are of this type. In this paper, we suggest a variety of hierarchical models for areal boundary analysis that hierarchically or jointly parameterize both the areas and the edge segments. This leads to conceptually appealing solutions for our data that remain computationally feasible. While our approaches parallel similar developments in statistical image restoration using Markov random fields, important differences arise due to the irregular nature of our lattices, the sparseness and high variability of our data, the existence of important covariate information, and most importantly, our desire for full posterior inference on the boundary. Our results successfully delineate service areas for our two Minnesota hospice systems that sometimes conflict with the hospices' self-reported service areas. We also obtain boundaries for the spatial residuals from our fits, separating regions that differ for reasons yet unaccounted for by our model.
登录
查看更多内容
影响因子：
3.6
作者：
Lu, HL;Carlin, BP
通讯作者：
Carlin, BP
影响因子：
1.2
作者：
HELTERBRAND, JD;CRESSIE, N;DAVIDSON, JL
通讯作者：
DAVIDSON, JL
影响因子：
5.2
作者：
Jordan, GJ;Fortin, MJ;Lertzman, KP
通讯作者：
Lertzman, KP
DOI：
10.1198/016214506000000041
发表时间：
2006-12-01
影响因子：
3.7
作者：
Banerjee, Sudipto;Gelfand, Alan E.
通讯作者：
Gelfand, Alan E.
影响因子：
56.9
作者：
WOMBLE, WH
通讯作者：
WOMBLE, WH