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Semiparametric linear transformation models for current status data
Authors:Jianguo Sun  Liuquan Sun
Abstract:Current status data arise when the death of every subject in a study cannot be determined precisely, but is known only to have occurred before or after a random monitoring time. The authors discuss the analysis of such data under semiparametric linear transformation models for which they propose a general inference procedure based on estimating functions. They determine the properties of the estimates they propose for the regression parameters of the model and illustrate their technique using tumorigenicity data.
Keywords:Counting process  current status data  estimating function  linear transformation models  regression analysis
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