The extensively corrected score for measurement error models
學年 104
學期 1
出版（發表）日期 2015-12-01
作品名稱 The extensively corrected score for measurement error models
作品名稱（其他語言）
著者 Huang YH; Wen CC; Hsu YH
單位
出版者
著錄名稱、卷期、頁數 Scandinavian Journal of Statistics 42(4), pp.911-924
摘要 In measurement error problems, two major and consistent estimation methods are the conditional score and the corrected score. They are functional methods that require no parametric assumptions on mismeasured covariates. The conditional score requires that a suitable sufficient statistic for the mismeasured covariate can be found, while the corrected score requires that the object score function can be estimated without bias. These assumptions limit their ranges of applications. The extensively corrected score proposed here is an extension of the corrected score. It yields consistent estimations in many cases when neither the conditional score nor the corrected score is feasible. We demonstrate its constructions in generalized linear models and the Cox proportional hazards model, assess its performances by simulation studies and illustrate its implementations by two real examples.
關鍵字 conditional score;corrected score;extensively corrected score;generalized linear models;measurement errors
語言 en_US
ISSN 1467-9469
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Huang YH
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105935 )