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背景、构成与异质性:健康研究中多级模型的应用

Context, composition and heterogeneity: using multilevel models in health research.

作者信息

Duncan C, Jones K, Moon G

机构信息

Department of Geography, University of Portsmouth, UK.

出版信息

Soc Sci Med. 1998 Jan;46(1):97-117. doi: 10.1016/s0277-9536(97)00148-2.

DOI:10.1016/s0277-9536(97)00148-2
PMID:9464672
Abstract

This paper considers the use of multilevel models in health research. Attention focuses on the structure and potential of such models and particular consideration is given to their use in elucidating the importance of contextual effects in relation to individual level social and demographic factors in understanding health outcomes, health-related behaviour and health service performance. Four graphical typologies are used to outline the questions that multilevel models can address and the paper illustrates their potential by drawing on published examples in a number of different research areas.

摘要

本文探讨了多级模型在健康研究中的应用。重点关注此类模型的结构和潜力,并特别考虑它们在阐明情境效应相对于个体层面社会和人口因素在理解健康结果、健康相关行为及健康服务绩效方面的重要性时的用途。运用四种图形类型来概述多级模型能够解决的问题,本文通过借鉴多个不同研究领域已发表的实例来说明其潜力。

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