Use of alternating logistic regression in studies of drug-use clustering

被引:26
作者
Bobashev, GV [1 ]
Anthony, JC [1 ]
机构
[1] Johns Hopkins Univ, Sch Hyg & Publ Hlth, Dept Mental Hyg, Baltimore, MD 21205 USA
关键词
space-time clustering; marijuana; cannabis use disorder; epidemiology; regression;
D O I
10.3109/10826080009148432
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
This article describes the alternating logistic regression (ALR) method, and places this method in the context of other statistical approaches to the analysis of complex survey data, including the conditional form of logistic regression with matching on neighborhood characteristics. Unlike conditional logistic regression, the ALR method provides for an explicit estimation of the magnitude of clustering of drug use within neighborhoods and within subgroups of the neighborhood defined by male-female or age indicators, with rind without covariate adjustments. The application of these ALR methods is illustrated with estimates for the magnitude of clustering of daily marijuana use and weekly marijuana use within neighborhoods of the United States, based on data from the National Household Survey on Drug Abuse samples from 1990 through 1996. [Translations are provided ill the International Abstracts Section of this issue.]
引用
收藏
页码:1051 / 1073
页数:23
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