ESTIMATING STANDARDIZED PARAMETERS FROM GENERALIZED LINEAR-MODELS

被引：43

作者：

GREENLAND, S

机构：

[1] Department of Epidemiology, Ucla School of Public Health, Los Angeles, California

来源：

STATISTICS IN MEDICINE | 1991年 / 10卷 / 07期

关键词：

D O I：

10.1002/sim.4780100707

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Although the traditional unrestricted ('non-parametric') estimators of directly standardized rates and rate differences remain unbiased in sparse data, they tend to suffer from instability (low precision). As a result, many authors have proposed more precise estimators based on parametric models for the rates. This paper provides a general approach for constructing estimators of standardized parameters using generalized linear models, and shows that, in some common special cases, these model-based ('smoothed') estimators can have an exceptionally simple form.

引用

页码：1069 / 1074

页数：6

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