Sentence examples for mean net benefit from inspiring English sources

The mean net benefit measure for second-read CAD overall was 6·2%2 % (95 %CI 3 · 1 % to 9·3%3 %) indicating significant benefit versus unassisted interpretation [ 27].

In addition to the incremental net benefit (β1), net benefit regression provides an estimate of the mean net benefit of "usual care" (β0), the mean net benefit of "new treatment" (β0 + β1) and also regression diagnostic information (e.g., the residual errors and R).

Overall, and for multiparous women, planned birth at home generated the greatest mean net benefit with a 100% probability of being the optimal setting across all thresholds of cost effectiveness when perinatal outcomes were considered.

For example, for a threshold probability of 15%, a predictor being equally sensitivity and specific to the event, and evaluated at timepoint 1, the true net benefit was 0.0185 and the mean net benefit over 2000 replications was 0.0186.

With regards to maternal outcomes, planned birth at home generated the greatest mean net benefit with a 100% probability of being the optimal setting across all cost effectiveness thresholds.

With regards to maternal outcomes in nulliparous and multiparous women, planned birth at home generated the greatest mean net benefit with a 100% probability of being the optimal setting across all thresholds of cost effectiveness.

The mean net benefits at a threshold of £30,000 per QALY were then 1.7 per 1,000, with a probability cost-effective of 54.5%.

It can be shown [ 22] that when this difference is greater than zero (i.e., when the loop group has greater mean net benefits than the Holter group), then ΔC/ΔE < λ.

Then, for each λ value, we calculated differences in mean net benefits between the two groups using non-parametric bootstrap linear regressions (1000 repetitions) which included covariates for the baseline values of the same cost category and outcome.

We denote the population mean incremental net benefit (mean INB) by ΔB K).

The standard notation in probability theory for a mean or expected value is, so the mean incremental net benefit is ΔB K) = (DB(K)) = K ΔE - ΔC, where ΔE = (DE) and ΔC = (DC) are the population mean increments in effectiveness and cost.