Additive hazards regression 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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ژورنال
عنوان ژورنال: Canadian Journal of Statistics
سال: 2010
ISSN: 0319-5724
DOI: 10.1002/cjs.10072