Sentence examples for estimating treatment from inspiring English sources

It differs from ordinary maximum likelihood estimation because it accounts for the degrees of freedom used in estimating treatment effects and is the most appropriate method for fitting mixed models [37], [38], [39].

Randomized controlled trials (RCTs) are considered the gold standard in estimating treatment effects.

In the presence of overt bias, propensity score methods have been proposed as alternatives for estimating treatment effect.

However, as discussed in NSW, one can actually test this assumption using tools borrowed from the synthetic control approach to estimating treatment effects (Abadie et al., 2010).

Besides, our evaluation approach, which consists in comparing actual outcomes to predicted ones, is less parametric and more flexible than estimating treatment effects within a regression model.

We consequently tested the underlying assumptions of the approach by estimating treatment effects for employment rates of GSMs between cohorts 1 and 2 of CSAM.

Pintilie and others [ 8] have recently suggested a case-cohort approach to estimating treatment-related mortality in patients diagnosed with Hodgkin lymphoma while simultaneously accounting for competing causes of death by borrowing ideas from Fine and Gray [ 9].

In particular, it can make estimation of the variance of the estimated treatment effect more difficult.

A clinical trial showed that the pill, called Sutent, delays cancer progression for six months at an estimated treatment cost of $54,000.

In total, we estimate treatment effects for 28 different strata.

Bayesian analysis can incorporate clinicians' beliefs about treatment effectiveness into models that estimate treatment effects.