Sentence examples for marginal probabilities between from inspiring English sources

Exact(2)

In diagnostic methods evaluation, analysts commonly focus on the relative size of the treatment difference (ratio of marginal probabilities) between a new and an existing procedures.

To assess non-inferiority (a new procedure is, to a pre-specified amount, no worse than an existing procedure) via a ratio of marginal probabilities between two procedures using clustered matched-pair binary data, four ICC-adjusted test statistics are investigated.

Similar(58)

We used both statistical support (bootstrap values, quartet puzzling support values, and posterior marginal probabilities) and congruence between the different phylogenetic methods as indicators of the reliability of the different internal branches of the tree.

Under the Bayesian framework, model comparison is usually made by calculating Bayes factors [ 39], the ratio between the marginal probabilities of the data given the tested models and after integrating out all parameters in the models.

We then calculated the difference between the two marginal probabilities, assuming that all patients were exposed to rosiglitazone and then that all were exposed to pioglitazone.

As will become clear from analysis of examples later in the paper, disparities between prior probabilities and reconciled marginal probabilities emerge when there are substantial conflicts among the prior probabilities for the variables.

The inter-relationships between the cell probabilities, the π i,j 's, and the marginal probabilities, the (pi _{r_{s_{i}},.})'s and (pi _{.,r_{t_{j}}})'s, are defined in detail below at (20) and (21), respectively.

The marginal probabilities are given by (13).

The marginal probabilities of is derived as follows: (7).

We indicate the magnitudes of the associations between the key policy variables and the dependent variables by calculating elasticities from the cost models and marginal probabilities from the logistic models.

The values are marginal probabilities, the difference in probability occurrences of late collar removal and early collar removal.

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