DOSE-RESPONSE AND TREND ANALYSIS IN EPIDEMIOLOGY - ALTERNATIVES TO CATEGORICAL ANALYSIS

被引：938

作者：

GREENLAND, S

机构：

[1] Department of Epidemiology, UCLA School of Public Health, Los Angeles, CA

来源：

EPIDEMIOLOGY | 1995年 / 6卷 / 04期

关键词：

BIOSTATISTICS; EPIDEMIOLOGIC METHODS; LOGISTIC REGRESSION; RELATIVE RISK; RISK ASSESSMENT;

D O I：

10.1097/00001648-199507000-00005

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Standard categorical analysis is based on an unrealistic model for dose-response and trends and does not make efficient use of within-category information. This paper describes two classes of simple alternatives that can be implemented with any regression software: fractional polynomial regression and spline regression. These methods are illustrated in a problem of estimating historical trends in human immunodeficiency virus incidence. Fractional polynomial and spline regression are especially valuable when important nonlinearities are anticipated and software for more general nonparametric regression approaches is not available.

引用

页码：356 / 365

页数：10

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