Sentence examples for average outcome of the from inspiring English sources

A core assumption for drawing causal inference is that the average outcome of the group exposed to one treatment regimen represents the average outcome the other group would have had if they had been exposed to the same treatment regimen.

Survival data obtained from a population-based cancer registry ideally portrays the average outcome of the disease which avoids the selective bias commonly appears in hospital sourced cases.

The non-parametric kernel matching estimator creates the counterfactual outcome by using weighted averages of all individuals of the control group, which is compared to the average outcome of those treated.

Then, within each interval the difference between the average outcomes of the treated and the controls is computed.

The method adopts the following approach: once the subsample of patients with the same characteristics had been selected, the impact of the ICD on a certain outcome was measured by comparing the outcome for each single ICD patient (case) with the average outcome of all of the matched patients without the ICD (control).

The average outcome of three measurements of the choroidal thickness was used for calculation.

By comparing the average outcome of each group, she can establish whether the project worked and precisely how well.In one study, Ms Duflo and her colleagues showed that mothers in the Indian state of Rajasthan are three times as likely to have their children vaccinated if they are rewarded with a kilogram of daal (lentils) at the immunisation camp.

This is in contrast with local average models, where utilities are a function of the difference between own outcome and the average outcome of one's neighbours.

Pre-multiplying the vector Y by (tilde {boldsymbol {G}}) gives a vector containing, for each individual, the average outcome of his neighbours, and similarly (tilde {boldsymbol {G}}boldsymbol {X}) is a vector of the average characteristics of his friends.

As outlined above, this model implies that a node's outcome is affected by the average outcome of its network neighbours, its own and network-level exogenous characteristics (the latter may be subsumed into a network fixed effect), and the average characteristics of its network neighbours.

In local average models, an agent's outcome (or choice) is influenced by the average outcome of its neighbours8.