2016年12月11日 · Difference ATE and ATET? Ask Question Asked 8 years, 3 months ago. Modified 6 years, 8 months ago.

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2020年12月11日 · You mentioned you wanted the ATET (average treatment effect on the treated); because you randomly assigned participants, each treated group has the same distribution of covariates as each of the other groups and of the whole sample, so the ATET is equal to the ATE (average treatment effect).

2022年5月18日 · The difference between ATE and ATT (also called ATET) is related to the sample (the rows of the data) you used to estimate the effect. Calculating ATT, we can say that you only use the rows of the treated population and compare their outcome measured (after treatment) to the potential outcome that the counterfactual observation had.

2017年10月17日 · The Average Treatment Effect (ATE) and the Average Treatment Effect on Treated (ATT) are commonly defined across the different groups of individuals.

According to Lee and Little 2017, when using propensity score (PS) methods, weighting on odds will generate the Average Treatment Effect on the Treated (ATT), while using subclassification and weig...

2011年6月7日 · For pedagogical purposes, it's actually much better to think about three quantities: ITT: Intent to Treat Effect-- effect of treatment ASSIGNMENT on outcome (for everybody) LATE: Local Average Treatment Effect-- effect of treatment no outcome FOR COMPLIERS ATE: Average Treatment Effect-- effect of …

Typically, people do stratification on quantiles of the propensity score (e.g., the top 10%, then next 10%, etc.). Researchers should choose the number of strata based on which produces the best balance. Here is some R code to do the stratification for estimating the ATET:

Then I want to calculate the average treatment effect (ATE) (and the average treatment effect on the treated, ATET) using e.g. caliper matching with replacement or a simple 1:1 matching with replacement.

ToT/ATET is a larger set! Which notes do you have? $\endgroup$ – Matifou. Commented May 12, 2016 at 0:03