平均干预效应（Average Treatment Effect，ATE）最终匹配的干预组和控制组在因变量上的平均差异 - 例如：ATE=456，“所有人上了大学之后，比所有人都没上大学平均多456元” 实验组的平均干预效应（Average Treatment Effect on the treated, ATT，或简称ATET)【我们只需调用和...
Average treatment effect on the treated (ATT) at different grid resolutions with (a) and without (b) direct neighbors. Error bars depict Abadie-Imbens (AI) standard errors.Jan, BörnerKrisztina, KisKatosJorge, HargraveKon...
From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate p... Randomized controlled trials (RCTs) can provide unbiased estimates of sample average treatment effects. However, a common concern is that RCTs ...
From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects 来自 EBSCO 喜欢 0 阅读量: 84 作者:E Hartman,R Grieve,R Ramsahai,JS Sekhon ...
At treatment onset, in 2034, we observe a treatment effect is a decrease of the bmi of 1.23. In the last two periods, the effect of the treatment has diminished for the 2034 cohort; the confidence intervals for the effects in 2039 and 2040 again include 0. We interpret the results for...
average treatment effect on the treated (ATT), i.e. the expected relative effect of a treatment on the individuals who received the treatment, or on outcomes other than survival. There is therefore an increasing need to investigate new statistical methods that minimize the risk of bias and ...
framework to obtain the average treatment effect and the average treatment effect on the treated using a variety of estimators, including those suitable for endogenously assigned treatment. We will cover the conceptual and theoretical underpinnings of treatment effects as well as many examples using ...
The objective of many studies in health and social sciences is to evaluate the causal effect of a treatment or exposure on a specific outcome using observational data. In such studies, the exposure is typically not randomized and therefore confounding bi
This paper presents an implementation of matching estimators for average treatment effects in Stata. The nnmatch command allows you to estimate the average effect for all units or only for the treated or control units; to choose the number of matches; to specify the distance metric; to select ...
Whereas the variance of the average treatment effect is unaffected by knowledge of the propensity score, the bound for the treatment effect on the treated changes if the propensity score is known. However, the reasons for this remain unclear. In this paper it is shown that knowledge of the ...