Sentence examples for estimate of intervention from inspiring English sources

Adjusted indirect comparisons preserve the strength of randomization by comparing the (pooled) relative effect estimate of intervention A vs. X with the (pooled) relative effect estimate of intervention B vs. X (X as common comparator), as in Figure 1 with common comparator X. Placebo is often used as a common comparator [2]-[5].

We report proportions of continued drug, alcohol, and sexual risk behaviors in Table 2. Our assumption that participants lost to follow-up continued the risky behavior yielded a conservative estimate of intervention effects; we also present alternate outcomes where those lost to follow-up were excluded; censoring participants lost to follow-up did not substantively change outcomes.

Adjusting for the baseline difference, the adjusted estimate of intervention effect is (μ11 - μ10) - (μ01 - μ00), i.e. the D-in-D estimate of intervention effect.

α estimate of intervention effect on change score of behavioural factors.

The disadvantage of this approach is that our estimate of intervention effect will be based on fewer participants.

To supplement the limited demographic data available through Facebook, we subsample 10% of seed users to further characterise study participants and to provide an estimate of intervention effectiveness.

The summary estimate of interventions showed trends towards reduction in gestational diabetes (0.78, 0.57 to 1.08), gestational hypertension (0.89, 0.64 to 1.25), and preterm delivery (0.78, 0.60 to 1.02) that were not significant.

The annual flow of this, when added to various other uncertainties, sums to $300 to $700 billion—in the same range as their estimates of intervention.

The population and costing models rest upon a series of best estimates, including the expected patterns of resource use and, perhaps most importantly, estimates of intervention efficacy.

When we recalculated intervention effectiveness using these new model fits (fig. S2), we found that underreporting would reduce our estimates of intervention effectiveness.

When we recalculated intervention effectiveness using these new model fits (fig. S2), we found that under-reporting would reduce our estimates of intervention effectiveness.