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:
“The average parent may, for example, plant an artist or fertilize a ballet dancer and end up with a certified public accountant. We cannot train children along chicken wire to make them grow in the right direction. Tying them to stakes is frowned upon, even in Massachusetts.”
—Ellen Goodman (b. 1941)
“Our treatment of both older people and children reflects the value we place on independence and autonomy. We do our best to make our children independent from birth. We leave them all alone in rooms with the lights out and tell them, “Go to sleep by yourselves.” And the old people we respect most are the ones who will fight for their independence, who would sooner starve to death than ask for help.”
—Margaret Mead (1901–1978)
“Self-denial is not a virtue: it is only the effect of prudence on rascality.”
—George Bernard Shaw (1856–1950)