Reweighted estimators for additive hazard model with censoring indicators missing at random
نویسندگان
چکیده
منابع مشابه
Additive hazards regression with censoring indicators missing at random.
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 develop a class of estimating equations and use an inverse probability weighted approach to estimate the regression parameters. Nonparametric smoothing techniques are employed to estimate the probability of non-missi...
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The kernel smoothed Nelson–Aalen estimator has been well investigated, but is unsuitable when some of the censoring indicators are missing. A representation introduced by Dikta, however, facilitates hazard estimation when there are missing censoring indicators. In this article, we investigate (i) a kernel smoothed semiparametric hazard estimator and (ii) a kernel smoothed “pre-smoothed” Nelson ...
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ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2017
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-017-9398-z