Additive hazards regression with censoring indicators missing at random
X Song, L Sun, X Mu, GE Dinse - Canadian Journal of Statistics, 2010 - Wiley Online Library
… In this article, the authors consider a semiparametric additive hazards regression model
for right-censored data that allows some censoring indicators to be missing at random. They …
for right-censored data that allows some censoring indicators to be missing at random. They …
Additive hazards regression with missing censoring information
X Zhou, L Sun - Statistica Sinica, 2003 - JSTOR
… additive hazards reg model with missing censoring indicators. … the regression parameters
as well mulative baseline hazard … properti estimator of the regression parameters is shown to …
as well mulative baseline hazard … properti estimator of the regression parameters is shown to …
Additive hazards regression models for survival data
… In Section 4, we develop simple inference procedures for intervalcensored data under the
additive hazards model. The material presented in Sections 3 and 4 consists of preliminary …
additive hazards model. The material presented in Sections 3 and 4 consists of preliminary …
Regression analysis of clustered interval-censored failure time data with the additive hazards model
J Li, C Wang, J Sun - Journal of nonparametric statistics, 2012 - Taylor & Francis
… the additive mixed effect model for clustered right-censored … the additive hazards model to
clustered interval-censored … is assumed to follow the additive hazards model marginally. In …
clustered interval-censored … is assumed to follow the additive hazards model marginally. In …
Additive hazards regression with current status data
… arbitrary baseline hazard function and a regression function of … the regression parameters
of the additive hazards model by … for the proportional hazards model with right censored data. …
of the additive hazards model by … for the proportional hazards model with right censored data. …
[HTML][HTML] Regression analysis of case II interval-censored failure time data with the additive hazards model
L Wang, J Sun, X Tong - Statistica Sinica, 2010 - ncbi.nlm.nih.gov
… approach for regression analysis of interval-censored failure time data with the … model the
failure time with the additive hazards model. Specifically, we assume that T i has the hazard …
failure time with the additive hazards model. Specifically, we assume that T i has the hazard …
Reweighted estimators for additive hazard model with censoring indicators missing at random
X Chen, J Cai - Lifetime data analysis, 2018 - Springer
… (2009), we propose new approaches to analyze survival data with missing censoring
indicators under the additive hazard model. We consider simple and augmented inverse …
indicators under the additive hazard model. We consider simple and augmented inverse …
The additive hazards model with high-dimensional regressors
T Martinussen, TH Scheike - Lifetime data analysis, 2009 - Springer
… A total of 418 patients are included in the dataset and were followed until death or censoring.
In addition to time at risk and censoring indicator, 18 covariates are recorded for this study. …
In addition to time at risk and censoring indicator, 18 covariates are recorded for this study. …
Maximum penalized likelihood estimation of additive hazards models with partly interval censoring
J Li, J Ma - Computational Statistics & Data Analysis, 2019 - Elsevier
… on hazards. This paper proposes a maximum penalized likelihood method to fit additive
hazards models with interval censoring. Our method firstly models the baseline hazard using a …
hazards models with interval censoring. Our method firstly models the baseline hazard using a …
Empirical Bayes estimation for additive hazards regression models
D Sinha, MB McHenry, SR Lipsitz, M Ghosh - Biometrika, 2009 - academic.oup.com
… For univariate survival time Ti subject to noninformative right censoring at Ci , … additive
hazards regression model by placing a suitable prior process on the baseline cumulative hazard …
hazards regression model by placing a suitable prior process on the baseline cumulative hazard …
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