Semiparametric analysis of case series data

被引：73

作者：

Farrington, C. P. ^{[1
]}

Whitaker, H. J. ^{[1
]}

机构：

[1] Open Univ, Dept Stat, Milton Keynes MK7 6AA, Bucks, England

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | 2006年 / 55卷

关键词：

case series; conditional likelihood; epidemiology; external variable; Poisson process; product multinomial; recurrent events; semiparametric model; time-dependent covariate;

D O I：

10.1111/j.1467-9876.2006.00554.x

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The case series model for estimating the association between an age-dependent exposure and an outcome event requires information only on cases and implicitly adjusts for all age-independent multiplicative confounders, while allowing for an age-dependent base-line incidence. In the paper the model is presented in greater generality than hitherto, including more general discussion of its derivation, underlying assumptions, applicability, limitations and efficiency. A semiparametric version of the model is developed, in which the age-specific relative incidence is left unspecified. Modelling covariate effects and testing assumptions are discussed. The small sample performance of this model is studied in simulations. The methods are illustrated with several examples from epidemiology.

引用

页码：553 / 580

页数：28

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