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National Chung Hsing University Institutional Repository - NCHUIR > 理學院 > 統計學研究所 > 依資料類型分類 > 期刊論文 >  Differential Measurement Errors in Zero-Truncated Regression Models for Count Data

Please use this identifier to cite or link to this item: http://nchuir.lib.nchu.edu.tw/handle/309270000/133628

標題: Differential Measurement Errors in Zero-Truncated Regression Models for Count Data
作者: Huang, Y.H.;Hwang, W.H.;Chen, F.Y.
關鍵字: Conditional score;Differential measurement errors;Surrogate condition;Zero-truncated regression model;overdispersion;estimator
日期: 2011
Issue Date: 2012-12-14 10:06:49 (UTC+8)
關連: Biometrics, Volume 67, Issue 4, Page(s) 1471-1480.
摘要: Measurement errors in covariates may result in biased estimates in regression analysis. Most methods to correct this bias assume nondifferential measurement errorsi.e., that measurement errors are independent of the response variable. However, in regression models for zero-truncated count data, the number of error-prone covariate measurements for a given observational unit can equal its response count, implying a situation of differential measurement errors. To address this challenge, we develop a modified conditional score approach to achieve consistent estimation. The proposed method represents a novel technique, with efficiency gains achieved by augmenting random errors, and performs well in a simulation study. The method is demonstrated in an ecology application.
Relation: Biometrics
Appears in Collections:[依資料類型分類] 期刊論文
[依教師分類] 黃文瀚
[依教師分類] 黃文瀚

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