在進行迴歸分析之前，應先執行迴歸診斷，即對觀測數據評估迴歸模型的合適性。對於完整或右設限毀壞時間資料的迴歸診斷，許多的圖形法或量化法已被建立(如，Collett (1994), Klein and Moeschberger (2003), and Lawless (2003))。在本文中，對於現狀數據在優劣比-風險模型下，我們發展了評估比例風險假設和比例優劣比假設之診斷方法(Scharfstein, Tsiatis, and Gilbelt (1998))，同時對所提估計提供一穩定且快速計算法則。我們藉由模擬研究和三個實例分析來說明所提方法的表現。 The regression diagnostics that assess the adequacy of a regression model for observed data should be conducted before the regression analysis. For complete or right censored failure time data, several graphical or quantitative methods have been established for regression diagnostics (e.g. Collett (1994), Klein and Moeschberger (2003), and Lawless (2003)). In the thesis, we develop a diagnostic method for assessing the proportional hazards and proportional odds assumptions with current status data under the odds-rate model (Scharfstein, Tsiatis, and Gilbelt (1998)) and provide a stable and efficient computation method for proposed estimators. We illustrate the performance of our method via simulation studies and three real data analysis.
