Semiparametric analysis of general additive-multiplicative hazard models for counting processes

• 成果类型: Article
• 署名作者: Lin, DY; Ying, ZL
• 署名单位: Rutgers University System; Rutgers University New Brunswick
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/aos/1176324320
• 发表日期: 1995
• 页码: 1712-1734
• 关键词: cox regression-model; large sample

摘要

The additive-multiplicative hazard model specifies that the hazard function for the counting process associated with a multidimensional covariate process Z = (W-T, X(T))(T) takes the form of lambda(t/Z) = g{beta(0)(T)W(t)} + lambda(0)(t)h{gamma(0)(T)X(t)}, where theta(0) = (beta(0)(T),