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Identifiability of models for clinical trials with noncompliance
Xie, TF; Zhang, ZZ
2004-08-01
Source PublicationDISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B
ISSN1531-3492
Volume4Issue:3Pages:805-811
AbstractIn this article we focus on clinical trials in which the compliance is measured with random errors, and develop an error-in-variables model for the analysis of the clinical trials. With this model, we separate the efficacy of prescribed treatment from that of the compliance. With additional information correlated with compliance, we prove that the model is identifiable, and get estimators for the parameters of interest, including the parameter reflecting the efficacy of the treatment. Furthermore, we extend the model to stratified populations, and discuss the asymptotic properties of the estimators.
Keywordasymptotic normality clinical trial compliance EV model instrumental variable
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000221965100034
PublisherAMER INST MATHEMATICAL SCIENCES
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/19577
Collection中国科学院数学与系统科学研究院
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100081, Peoples R China
2.Beijing Univ Technol, Dept Appl Math, Beijing 100022, Peoples R China
Recommended Citation
GB/T 7714
Xie, TF,Zhang, ZZ. Identifiability of models for clinical trials with noncompliance[J]. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B,2004,4(3):805-811.
APA Xie, TF,&Zhang, ZZ.(2004).Identifiability of models for clinical trials with noncompliance.DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B,4(3),805-811.
MLA Xie, TF,et al."Identifiability of models for clinical trials with noncompliance".DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B 4.3(2004):805-811.
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