國家衛生研究院 NHRI:Item 3990099045/5279
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    题名: Application of hierarchical models for detection of spatially clustered diseases in Taiwan
    其它题名: 空間階層模型在偵測台灣疾病群聚的應用
    作者: Chang, ML;Lin, PS;Tsou, HH
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: In this paper, a hierarchical generalized linear model with a Markov Chain Monte Carlo method is used to detect clustering effects for the disease rates. We first follow the criteria by Waller et al. (1997) and Gangnon and Clayton (2003) to assign prior distributions for the random effects in the model. With the Metropolis-Hasting algorithm, values of the random effects are simulated according to different selection methods of potential clusters. We then compute the Bayes factor and posterior distribution to decide the possible clusters for the diseases. This method is applied to analyze the data from National Health Research Institute. A simple comparison between the Bayes factor and posterior distribution for clustering detection is also made.
    日期: 2008
    關聯: Journal of the Chinese Statistical Association. 2008;46(1):22-35.
    Link to: http://www.airitilibrary.com/searchdetail.aspx?DocIDs=05296528-200803-46-1-22-35-a
    显示于类别:[林培生] 期刊論文
    [鄒小蕙] 期刊論文

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