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Estimating Cumulative Treatment Effect Under an Additive Hazards Model
Lu Xiaoliang1; Zhang Baoxue1; Sun Liuquan2
2021-01-12
Source PublicationJOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
ISSN1009-6124
Pages11
AbstractIn clinical and epidemiologic studies of time to event, the treatment effect is often of direct interest, and the treatment effect is not constant over time. In this paper, the authors propose an estimator for the cumulative hazard difference under a stratified additive hazards model. The asymptotic properties of the resulting estimator are established, and the finite-sample properties are examined through simulation studies. An application to a liver cirrhosis data set from the Copenhagen Study Group for Liver Diseases is provided.
KeywordAdditive hazards model cumulative hazards survival data time-dependent effect
DOI10.1007/s11424-020-0067-z
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11671268] ; National Natural Science Foundation of China[11771431] ; National Natural Science Foundation of China[11690015] ; Key Laboratory of RCSDS, CAS[2008DP173182]
WOS Research AreaMathematics
WOS SubjectMathematics, Interdisciplinary Applications
WOS IDWOS:000608140200030
PublisherSPRINGER HEIDELBERG
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/58022
Collection应用数学研究所
Corresponding AuthorSun Liuquan
Affiliation1.Capital Univ Econ & Business, Sch Stat, Beijing 100070, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Lu Xiaoliang,Zhang Baoxue,Sun Liuquan. Estimating Cumulative Treatment Effect Under an Additive Hazards Model[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2021:11.
APA Lu Xiaoliang,Zhang Baoxue,&Sun Liuquan.(2021).Estimating Cumulative Treatment Effect Under an Additive Hazards Model.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,11.
MLA Lu Xiaoliang,et al."Estimating Cumulative Treatment Effect Under an Additive Hazards Model".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY (2021):11.
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