Sentence examples for estimate summaries from inspiring English sources

We used random walk Markov chain Monte Carlo (MCMC) algorithms [ 60, 61] to estimate summaries of the posterior distribution under each of the models.

Data were analyzed with the Affymetrix Expression Console tool using the Probe Logarithmic Error Intensity Estimate summary method and sketch quantile normalization (http://www.affymetrix.com/analysis/index.affx).affx

Bivariate model method will be used to estimate summary sensitivity and specificity.

Agreement improved as distance decreased, but the proportion of homes for which we could estimate summary measures also decreased.

A standard meta-analysis to estimate summary effect sizes for all eligible interventions versus all comparators, using metan (Harris 2008).

We used the bivariate random effects model to estimate summary estimates of sensitivity and specificity and their corresponding 95% confidence intervals.

We applied the bivariate random effects model to estimate summary estimates of sensitivity and specificity and their corresponding 95% confidence intervals.

A bivariate model [ 24, 25] was used to estimate summary sensitivity and specificity, with 95% confidence and prediction regions around the summary points.

Maximum likelihood estimates were used to estimate summary odds ratios while least square means were used to estimate risk adjusted mean SAQ scores.

For binary outcomes, the relative risks of response rate from each study were pooled to estimate summary-effect sizes by using the inverse-variance method.

By retaining the full posterior distribution, rather than a point estimate summary, we can propagate uncertainty from the initial read summarization stage of analysis into the DE analysis.