Average Treatment Effect
The average treatment effect (ATE) is a measure used to compare treatments (or interventions) in randomized experiments, evaluation of policy interventions, and medical trials. The ATE measures the difference in mean (average) outcomes between units assigned to the treatment and units assigned to the control. In a randomized trial (i.e., an experimental study), the average treatment effect can be estimated from a sample using a comparison in mean outcomes for treated and untreated units. However, the ATE is generally understood as a causal parameter (i.e., an estimand or property of a population) that a researcher desires to know, defined without reference to the study design or estimation procedure. Both observational and experimental study designs may enable one to estimate an ATE in a variety of ways.
Read more about Average Treatment Effect: General Definition, Formal Definition, Estimation, An Example
Famous quotes containing the words average, treatment and/or effect:
“Japanese food is very pretty and undoubtedly a suitable cuisine in Japan, which is largely populated by people of below average size. Hostesses hell-bent on serving such food to occidentals would be well advised to supplement it with something more substantial and to keep in mind that almost everybody likes french fries.”
—Fran Lebowitz (b. 1975)
“The motion picture made in Hollywood, if it is to create art at all, must do so within such strangling limitations of subject and treatment that it is a blind wonder it ever achieves any distinction beyond the purely mechanical slickness of a glass and chromium bathroom.”
—Raymond Chandler (1888–1959)
“To see distinctly the machinery—the wheels and pinions—of any work of Art is, unquestionably, of itself, a pleasure, but one which we are able to enjoy only just in proportion as we do not enjoy the legitimate effect designed by the artist.”
—Edgar Allan Poe (1809–1849)