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anefficientriskestimatorwithexternalinformationunderadditivehazardsmodel
Wang Xin1; Xue Xiaoming2; Zhou Jie3; Sun Liuquan2
2018
Source Publicationactamathematicaeapplicataesinica
ISSN0168-9673
Volume34Issue:1Pages:35
AbstractRare event data is encountered when the events of interest occur with low frequency, and the estimators based on the cohort data only may be inefficient. However, when external information is available for the estimation, the estimators utilizing external information can be more efficient. In this paper, we propose a method to incorporate external information into the estimation of the baseline hazard function and improve efficiency for estimating the absolute risk under the additive hazards model. The resulting estimators are shown to be uniformly consistent and converge weakly to Gaussian processes. Simulation studies demonstrate that the proposed method is much more efficient. An application to a bone marrow transplant data set is provided.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/40283
Collection应用数学研究所
Affiliation1.School of Science,Beijing Information Science and Technology University
2.中国科学院数学与系统科学研究院
3.School of Mathematical Sciences,Capital Normal University
Recommended Citation
GB/T 7714
Wang Xin,Xue Xiaoming,Zhou Jie,et al. anefficientriskestimatorwithexternalinformationunderadditivehazardsmodel[J]. actamathematicaeapplicataesinica,2018,34(1):35.
APA Wang Xin,Xue Xiaoming,Zhou Jie,&Sun Liuquan.(2018).anefficientriskestimatorwithexternalinformationunderadditivehazardsmodel.actamathematicaeapplicataesinica,34(1),35.
MLA Wang Xin,et al."anefficientriskestimatorwithexternalinformationunderadditivehazardsmodel".actamathematicaeapplicataesinica 34.1(2018):35.
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