Sentence examples for estimates of the observed from inspiring English sources

Third, the twin sample was used to obtain heritability estimates of the observed high-quality DNA methylation profiles.

Finally, inclusion of gender as a covariate in the statistical analysis did not affect the genetic effect estimates of the observed associations, with the exception of marker rs2530543 that, in these test, resulted associated (withstanding Bonferroni correction) with DAS28 only in male patients [n = 164, recessive p = 0.0041, OR = 0.275 (95% CI 0.115 0.655)].

Combining these formulas, maximum likelihood estimates of the observed dataset can be deduced by numerically maximizing the log-likelihood.

The possibility of non-differential exposure misclassification would have biased the estimates of the observed association towards the null.

For each test type, we plotted estimates of the observed sensitivities and specificities in forest plots and in receiver-operating characteristic (ROC) space.

In many trials, if ICCs have been reported at all, authors simply provide point estimates of the observed ICCs and no other information.

Estimates β ¯ b and β ¯ c appeared to be equally good estimates of β. ♭ complete case analysis estimate of β from the observed data only; ♯ estimate of β from joint modelling imputation; ∇ logistic regression; linear discriminant analysis.

Modeling time and space series in various areas of science and engineering require the values of parameters of interest to be estimated from the observed data.

For each natriuretic peptide at the prespecified threshold, we plotted estimates of the paired observed sensitivities and specificities in forest plots and as average summary receiver operating characteristic (sROC) curves.

Within each stratum (for example, FQ resistance by indirect testing), we plotted estimates of the studies' observed sensitivities and specificities in forest plots with 95% confidence intervals (CI) and in receiver-operating characteristic (ROC) space using Review Manager (RevMan).

Model parameters are iteratively estimated using the expectation maximization (EM) algorithm [35], where the original parameters are refined to increase the likelihood of the estimated model for the observed feature vectors X, such that p ( X | λ ̄ ) ≥ p ( X | λ ).