The data is a simulation of confidence limits, coverage probabilities, average difference from actual values, and expected interval width for misclassified binomial proportions. The methods used for estimation include a modified Zao and Li (ZL), and adjusted Wilson (WL) interval. individual sheets are for different sample sizes
Four interval estimation methods for the ratio of marginal binomial proportions are compared in term...
<p>Estimated values of <i>k̂</i> and confidence interval coverage for NB datasets. 10,000 datasets w...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
<p>The empirical confidence regions for a range of probability levels ( = 0.005 to 0.5) are construc...
<p>The empirical confidence regions for a range of probability levels ( = 0.005 to 0.5) are construc...
This article is concerned with the calculation of confidence intervals for simulation output that is...
<p>For each simulation setting, coverage was assessed by tracking the percentage of simulations prod...
<p>Dispersions with gene-wise log geometric mean counts below the median (log mean from 2.17 to 1.63...
The simulated coverage probabilities and errors for the 90% two-sided reference intervals of the dis...
<p>Each dot represents a simulation with a particular set of parameters. The colors indicate the dim...
<p>Dispersions with gene-wise log geometric mean counts below the median (log mean from −2.17 to 4.4...
<p>Simulation study estimates of bias (mean and 95% confidence interval for the mean).</p
<p>The values above the black lines are estimated from Dataset D and the values below are calculated...
For simulation setting (1), shown are the RSSEs of the estimated joint probabilities to the true val...
This study provides a supplemental report of the performance of the confidence interval for direct s...
Four interval estimation methods for the ratio of marginal binomial proportions are compared in term...
<p>Estimated values of <i>k̂</i> and confidence interval coverage for NB datasets. 10,000 datasets w...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
<p>The empirical confidence regions for a range of probability levels ( = 0.005 to 0.5) are construc...
<p>The empirical confidence regions for a range of probability levels ( = 0.005 to 0.5) are construc...
This article is concerned with the calculation of confidence intervals for simulation output that is...
<p>For each simulation setting, coverage was assessed by tracking the percentage of simulations prod...
<p>Dispersions with gene-wise log geometric mean counts below the median (log mean from 2.17 to 1.63...
The simulated coverage probabilities and errors for the 90% two-sided reference intervals of the dis...
<p>Each dot represents a simulation with a particular set of parameters. The colors indicate the dim...
<p>Dispersions with gene-wise log geometric mean counts below the median (log mean from −2.17 to 4.4...
<p>Simulation study estimates of bias (mean and 95% confidence interval for the mean).</p
<p>The values above the black lines are estimated from Dataset D and the values below are calculated...
For simulation setting (1), shown are the RSSEs of the estimated joint probabilities to the true val...
This study provides a supplemental report of the performance of the confidence interval for direct s...
Four interval estimation methods for the ratio of marginal binomial proportions are compared in term...
<p>Estimated values of <i>k̂</i> and confidence interval coverage for NB datasets. 10,000 datasets w...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
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