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词汇扩展:队列研究中分析随时间变化变量的一个先决条件。

Lexis Expansion: a prerequisite for analyzing time changing variables in a cohort study.

作者信息

Mishra Sidharth Sekhar, Lohani Pallavi

机构信息

Senior Resident, School of Public Health, PGIMER Chandigarh, India.

Faculty, DAMS.

出版信息

Nepal J Epidemiol. 2017 Jun 30;7(2):681-684. doi: 10.3126/nje.v7i2.17974. eCollection 2017 Jun.

Abstract

In a prospective analytical cohort study or a study involving a longer follow up, changing age of participants influence the relationship between exposure and outcome. Usually age at entry is incorporated in the regression model to adjust for age. However, this fails to fully explain and adjust for changing age. For this Lexis expansion, a concept by Wilhelm Lexis, allows the analyst to expand the observations as per age bands and check for confounding and interaction by changing age. Lexis expansion assumes the rates to be constant within an age band.

摘要

在一项前瞻性分析队列研究或涉及更长随访期的研究中,参与者年龄的变化会影响暴露与结局之间的关系。通常,将入组时的年龄纳入回归模型以调整年龄因素。然而,这并不能完全解释和调整年龄的变化。为此,由威廉·莱克西斯提出的莱克西斯扩展概念,使分析人员能够根据年龄组扩展观察结果,并通过年龄变化检查混杂因素和交互作用。莱克西斯扩展假定在一个年龄组内发生率是恒定的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad0b/5673245/2f2e6b006348/nje-07-681-g001.jpg

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