共 50 条
Instrumental variable methods in comparative safety and effectiveness research
被引:236
|作者:
Brookhart, M. Alan
[1
,2
,3
]
Rassen, Jeremy A.
[2
,3
]
Schneeweiss, Sebastian
[2
,3
]
机构:
[1] Univ N Carolina, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA
[2] Brigham & Womens Hosp, Div Pharmacoepidemiol & Pharmacoecon, Dept Med, Boston, MA 02115 USA
[3] Harvard Univ, Sch Med, Boston, MA USA
基金:
美国国家卫生研究院;
美国医疗保健研究与质量局;
关键词:
instrumental variables;
confounding factors (epidemiology);
LEAST-SQUARES ESTIMATION;
PRESCRIBING PREFERENCE;
PROPENSITY SCORE;
RISK-ADJUSTMENT;
BREAST-CANCER;
LINEAR-MODELS;
BOUNDS;
MORTALITY;
ADHERENCE;
SELECTION;
D O I:
10.1002/pds.1908
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
Instrumental variable (IV) methods have been proposed as a potential approach to the common problem of uncontrolled confounding in comparative studies of medical interventions, but IV methods are unfamiliar to many researchers. The goal of this article is to provide a non-technical, practical introduction to IV methods for comparative safety and effectiveness research. We outline the principles and basic assumptions necessary for valid IV estimation, discuss how to interpret the results of an IV study, provide a review of instruments that have been used in comparative effectiveness research, and suggest some minimal reporting standards for an IV analysis. Finally, we offer our perspective of the role of IV estimation vis-a-vis more traditional approaches based on statistical modeling of the exposure or outcome. We anticipate that IV methods will be often underpowered for drug safety studies of very rare outcomes, but may be potentially useful in studies of intended effects where uncontrolled confounding may be substantial. Copyright (C) 2010 John Wiley & Sons, Ltd.
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页码:537 / 554
页数:18
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