Regression Discontinuity Designs

被引：0
|
作者：
Perraillon, Marcelo Coca [1 ]
Hamer, Mika K. [1 ]
Welton, John M. [2 ]
Myerson, Rebecca M. [3 ]
机构：
[1] Univ Colorado, Sch Publ Hlth, Dept Hlth Syst Management & Policy, Aurora, CO 80045 USA
[2] Univ Colorado, Coll Nursing, Aurora, CO USA
[3] Univ Wisconsin, Dept Populat Sci, Madison, WI USA
来源：
NURSING ECONOMICS | 2020年 / 38卷 / 02期
基金：
美国医疗保健研究与质量局;
关键词：
IDENTIFICATION; EPIDEMIOLOGY; INFERENCE; HEALTH;
D O I：
暂无
中图分类号：
R47 [护理学];
学科分类号：
1011 ;
摘要：
Regression discontinuity design is a statistical method used to estimate causal effects in observational studies. The method requires observing a variable and a cutoff point that either ultimately determines treatment assignment or is a strong predictor of treatment. Regression discontinuity requires large datasets since, often, not all observations are used in the analysis. Despite its strong internal validity, regression discontinuity remains underutilized in clinical research.
引用
收藏
页码：98 / 102
页数：5
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