博碩士論文 102225008 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	統計研究所	zh_TW
DC.creator	藍佩琳	zh_TW
DC.creator	Pei-Lin Lan	en_US
dc.date.accessioned	2015-7-21T07:39:07Z
dc.date.available	2015-7-21T07:39:07Z
dc.date.issued	2015
dc.identifier.uri	http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=102225008
dc.contributor.department	統計研究所	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.abstract	我們提出新的概似函數方法，來分析成對設計的資料，主要目的在比較兩個篩檢之陽性預測值或是兩個陰性預測值。直觀地，比較陽性預測值時僅需兩個篩檢結果為陽性的病患，反之，比較陰性預測值時僅需兩個篩檢結果為陰性的病患。現今大多數以多項式模型為基礎的方法，在模型中包含多餘的參數，導致推導出的統計量較為複雜。本文所介紹的新方法，只使用了最少量的感興趣參數。而我們的強韌分數檢定統計量與Kosinski (2013) 所提出的加權廣義分數統計量是完全相同的。	zh_TW
dc.description.abstract	We propose a new likelihood approach to comparing two positive predictive values (PPVs) or two negative predictive values (NPVs) in paired designs. Intuitively, one only needs patients with two positive screening test results for PPVs comparison, and those with two negative screening test results for contrasting NPVs. evertheless, current existing methods rely on the multinomial model that includes superfluous parameters unnecessary for specific comparisons. This practice results in complex statistics formulas. We introduce a novel approach that fits the intuition by including a minimum number of parameters of interest and show that our robust test statistic is identical to the weighted generalized score test statistic proposed by Kosinski (2013).	en_US
DC.subject	強韌概似函數	zh_TW
DC.subject	篩檢檢定	zh_TW
DC.subject	陽性預測值	zh_TW
DC.subject	陰性預測值	zh_TW
DC.subject	Robust likelihood	en_US
DC.subject	Diagnostic test	en_US
DC.subject	Positive predictive value	en_US
DC.subject	Negative predictive value	en_US
DC.title	推論成對設計的篩檢預測值之新概似函數方法	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	A new likelihood approach to inference about predictive values of diagnostic tests in paired designs	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US