Sentence examples for both bias and coverage from inspiring English sources

Post-imputation rounding performed well in this scenario, in terms of both bias and coverage.

We observed similar relationships in terms of observed relative bias and coverage probabilities.

Bayesian inference provided reliable credible intervals in terms of bias and coverage probability.

For all scenarios, there was little bias and coverage was excellent.

PMM generally improved on passive imputation, in terms of bias and coverage, but did not eliminate the bias.

In general, both approaches have high power for detecting association, but the SEM approach performs better in terms of bias and coverage for the variance component,.

Figure 1 (right) plots the bias and coverage of the MLE for μ1 as a function of K.

In contrast, under the joint modelling approach we observe minimal bias and coverage probabilities close to 95% across all scenarios.

They concluded that all the methods they considered gave small biases, with the Robins & Tsiatis method performing the best in terms of bias and coverage.

We evaluated the results in terms of parameter bias and 95%% coverage.

We observed more bias and lower coverage probability when using the existing methodology.