Semiparametric linear transformation models for current status data
文献类型:期刊论文
作者 | Sun, JG; Sun, LQ![]() |
刊名 | CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE
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出版日期 | 2005-03-01 |
卷号 | 33期号:1页码:85-96 |
关键词 | counting process current status data estimating function linear transformation models regression analysis |
ISSN号 | 0319-5724 |
英文摘要 | 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. |
WOS研究方向 | Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000228470300006 |
出版者 | CANADIAN JOURNAL STATISTICS |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/1086] ![]() |
专题 | 应用数学研究所 |
通讯作者 | Sun, JG |
作者单位 | 1.Univ Missouri, Dept Stat, Columbia, MO 65211 USA 2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, JG,Sun, LQ. Semiparametric linear transformation models for current status data[J]. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,2005,33(1):85-96. |
APA | Sun, JG,&Sun, LQ.(2005).Semiparametric linear transformation models for current status data.CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,33(1),85-96. |
MLA | Sun, JG,et al."Semiparametric linear transformation models for current status data".CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE 33.1(2005):85-96. |
入库方式: OAI收割
来源:数学与系统科学研究院
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