Propensity Scores and Regression Adjustment

被引：0

作者：

Perraillon, Marcelo Coca ^{[1
]}

Owsley, Kelsey M. ^{[1
]}

Welton, John M. ^{[2
]}

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

来源：

NURSING ECONOMICS | 2020年 / 38卷 / 04期

关键词：

MEDICAL LITERATURE; CRITICAL-APPRAISAL; CARE;

D O I：

暂无

中图分类号：

R47 [护理学];

学科分类号：

1011 ;

摘要：

Propensity score methods are commonly used in the analysis of observational data as an alternative or in combination with regression adjustment. Both propensity scores and regression adjustment require the same assumptions to obtain causal estimates of treatment effects: all confounders must be observed and included in the models. However, propensity scores are helpful when there is lack of overlap in one or more covariates.

引用

页码：218 / 221

页数：4

共 50 条

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