Exact(2)
For the per sample analyses, confidence intervals for accuracy measures and comparisons of sensitivities of different tests are based on marginal logistic regression with an identity link function.
Moreover many factors discussed during this decision-making and have been sparsely investigated or are based on marginal or no scientific evidence (such as age, trauma mechanism, time of arrest until start of life support, blood loss and ethical aspects).
Similar(58)
Performance of continuous time Bayesian network classifiers learned when combining conditional log-likelihood scoring and Bayesian parameter estimation are compared with that achieved by continuous time Bayesian network classifiers when learning is based on marginal log-likelihood scoring and to that achieved by dynamic Bayesian network classifiers.
Bayes Factor is based on marginal likelihood, and therefore provides a measure of model goodness of fit.
However, for the multivariate analysis, because of correlated data, and given that our objective was to evaluate average accuracy (rather than the individual effect of each radiologist on accuracy), the analysis that we believe optimal was based on marginal models based on generalized estimation equations.
Estimation and inference in classical linear mixed models are based on the marginal model, which for equation (1) is the bivariate normal model with variance-covariance δ i + Ω. Assume for the sake of simplicity that the within-study covariance matrix δ i = δ for all studies.
These statistical contours are based on the estimated marginal means derived from the model parameters and these predicted population margins were compared using tests for simple effects by partitioning the interaction effects.
The other βs are based on the effect size contrasting the weighted marginal mean antisocial behavior for one or more occurrences of the disciplinary actions (or seeing a psychotherapist) vs. the mean antisocial behavior associated with no occurrences of the disciplinary action or psychotherapy.
Many of the assumptions about market economies are based on acceptance of the competitive model, with marginal returns commensurate with social contributions.
The marginal reliability estimates are based on the mean standard error of the IRT scores for the items at the 50th percentile of the latent trait distribution for the CAM feature positive group.
The construction of a two-dimensional scale-invariant tensor product smoother for worker age (age) and region-level GDP per capita (gdp) is based on two marginal one-dimensional spline bases, with associated quadratic penalties measuring their roughness.
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