Regression Diagnostics for Current Status Data Using the Odds-Rate Model
學年 103
學期 1
發表日期 2014-08-02
作品名稱 Regression Diagnostics for Current Status Data Using the Odds-Rate Model
作品名稱（其他語言）
著者 Wen, Chi-Chung
作品所屬單位 淡江大學數學學系
出版者
會議名稱 2014 Joint Statistical Meetings (JSM 2014)
會議地點 Boston, USA
摘要 Regression diagnostics that assess the adequacy of a regression model for observed data should be conducted before the regression analysis. Several regression diagnostic methods have been established for complete or right censored failure time data, but there are not many approaches available for current status failure time data. In this study, we develop a diagnostic method for assessing the proportional hazards (PH) and proportional odds (PO) assumptions with current status data under the odds-rate (OR) model (Scharfstein, Tsiatis, and Gilbelt 1998). The OR model includes the PH and PO models as special cases and hence offers a semiparametric likelihood ratio test to evaluate the PH and PO assumptions for current status data. We provide a stable and efficient computation method for proposed estimation, verify the asymptotic theories of the likelihood ratio tests via simulations, and illustrate the proposed method with three real data analyses. This is a joint work with Hsiao-Han Hung.
關鍵字 Goodness of fit; Case I interval-censored; Odds-rate model
語言 en
收錄於
會議性質
校內研討會地點
研討會時間 20140802~20140807
通訊作者
國別
公開徵稿 Y
出版型式
出處
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