Sentence examples for inferred variables from inspiring English sources

In our hypothesized model, trust in formal information, trust in informal information, perceived personal susceptibility, hand washing and social distancing behaviours were entered as latent (inferred) variables while other constructs were entered as observable (directly measured) variables because they were assessed with only one item.

A significant drawback of our method is that it only delivers point estimates of the inferred variables.

A soft sensor is a conceptual device whose output or inferred variable can be modeled in terms of other parameters that are relevant to the same process (Rallo et al. 2002).

This can be done efficiently using Felsenstein's pruning and peeling algorithm (Felsenstein, 2003); (ii) M-step, deriving a new estimate of π conditioned on the inferred latent variables.

Together with the name of the variable and its location in the query, the class of the variable inferred from the variable occurrence is also stored.

These same studies and others have also begun to explore the clinical relevance of such model signatures by inferring pathway activity across human tumours and correlating the inferred patterns with clinical variables [ 1, 6, 7, 9- 14].

Planned potential associations among geographic and climate variables and inferred genotypes were tested by correlation and regression analyses in Excel or by general linear models in SAS SAS Institute Inc.., Cary, USA), of the type Y = βX+e, where X is the discrete genotype, e the error represented by the replication dependent variance, and Y the individual factor of influence, where appropriate.

Variables were not re-normalized after substitution because this would affect the variance and inferred importance of the variable in the logistic regression.

The Spearman rank correlation was used to assess differences in mean number of alleles and ecogeographic variables among the inferred groups.

Using the inferred estimates for the model variables, the marginal probability of a gene set being active in a given comparison is given by the following expression: (1) The full details of our model are described in Supplementary Material S5.

For each dataset, we restricted the expression matrix to a submatrix of the 11 variables of the inferred signature and we estimated the generalization error of a Regularized Least Squares classifier in a leave-one-out cross-validation loop.