博碩士論文 109225003 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator黃子恒zh_TW
DC.creatorTz-Heng Huangen_US
dc.date.accessioned2022-9-21T07:39:07Z
dc.date.available2022-9-21T07:39:07Z
dc.date.issued2022
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=109225003
dc.contributor.department統計研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract診斷研究的整合性分析已被廣泛用在生物醫學領域上,而基於Copula 之貝氏方法是被所提倡在比較兩診斷測試的整合性分析中,在控制異質性跟相關性下,我們使用四維度之Copula 模型來彙整診斷測試中的靈敏度跟特異度,特別地說,針對兩診斷測試中真陽性跟真陰性的人數,假設他們的邊際分布為貝它二項式的結構,以及藉由Copula方法來獲得聯合分布。其中,對於有興趣的參數,我們使用貝氏馬可夫鏈蒙地卡羅來做估計,最後,我們透過兩筆不同的診斷測試跟模擬研究來呈現所提出的方法。zh_TW
dc.description.abstractMeta-analysis of diagnostic studies is widely used in biomedical research. A Bayesiancopula- based approach is proposed for meta-analysis of studies comparing two diagnostic tests. We use a quadrivariate copula model to pool the sensitivities and specificities of the two diagnostic tests across studies while controlling heterogeneity and correlations. Specifically, the marginal distribution of the numbers of true positive and true negative for the two diagnostic tests of each study is assumed to be beta binomial and the joint distribution is then obtained via copula methods. The parameters of interest are estimated using the Bayesian MCMC approaches. We assess the performance of the proposed method by simulations and two different mata-analysis data.en_US
DC.subject整合性分析zh_TW
DC.subject貝氏方法zh_TW
DC.subject耦合zh_TW
DC.subject貝它二項式分布zh_TW
DC.subjectDICzh_TW
DC.subject可信區間zh_TW
DC.subject診斷測試zh_TW
DC.subject馬可夫鏈蒙地卡羅zh_TW
DC.subjectMeta-analysisen_US
DC.subjectBayesian approachen_US
DC.subjectcopulaen_US
DC.subjectbeta-binomial distributionsen_US
DC.subjectDICen_US
DC.subjectcredible intervalen_US
DC.subjectdiagnostic testen_US
DC.subjectMCMCen_US
DC.title基於Copula 之貝氏方法的比較兩診斷測試之整合性分析zh_TW
dc.language.isozh-TWzh-TW
DC.titleA Bayesian-copula-based approach for meta-analysis of studies comparing two diagnostic testsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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