1997
DOI: 10.1214/aos/1030741089
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Regression M-estimators with doubly censored data

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Cited by 42 publications
(25 citation statements)
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“…For a regression model with double censoring, estimators have been proposed by Zhang andLi, 1996, Ren andGu, 1997 to name a few. Both of these require a linear regression specification and the censoring variables to be independent of the covariates.…”
Section: Extension I: Doubly Censored Datamentioning
confidence: 99%
“…For a regression model with double censoring, estimators have been proposed by Zhang andLi, 1996, Ren andGu, 1997 to name a few. Both of these require a linear regression specification and the censoring variables to be independent of the covariates.…”
Section: Extension I: Doubly Censored Datamentioning
confidence: 99%
“…H n (z) of sample Z 1 ,y,Z n , obtainĜ n ðx,zÞ through computingĜ n ðx,Z k Þ ¼F XjZ k ðxÞH n ðZ k Þ for all 1 rk rn. Under regularity conditions, Ren and Gu (1997) showed that ffiffiffi n p ðĜ n ÀGÞ is asymptotically centered Gaussian, i.e., assumption (AS2) of Theorem 2 holds forĜ n by Ren and Gu (1997). Thus, Theorem 2 holds for doubly censored data (3.6).…”
Section: Extension To Censored Datamentioning
confidence: 95%
“…For doubly censored data (3.6), Ren and Gu (1997) constructed a nonparametric estimatorĜ n ðx,zÞ for bivariate d.f. G(x,z) as follows.…”
Section: Extension To Censored Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Under censored model, there is some literature on the M-estimators. For example, Ren and Gu (1997) proposed the M-estimators for the linear regression model with random design when the response observations are doubly censored. Jin (2007) constructed the M-estimators of regression parameters in semiparametric linear models for censored data and established asymptotic normality of the estimators.…”
Section: Introductionmentioning
confidence: 99%