Sentence examples for treating variables from inspiring English sources

In (b) we compare the lag-1 sustaining probabilities against the probabilities P ( x i ( t ) = 1 | x i ( t − 1 ) = 1, x i ( t − 2 ) = 0 ) and P ( x i ( t ) = 1 | x i ( t − 1 ) = 1, x i ( t − 2 ) = 1 ) (i.e. treating variables as a lag-2 dynamical process).

There are many advantages to treating variables as continuous numeric variables if the data allow this, and this should be employed more often in experimental biology.

These include the potential for omitting a variable that is spatially correlated, treating variables as independent when they are in fact related to the values of their neighbours, or using inappropriately aggregated data.

Three different strategies for clinical decision support are proposed: the use of individual data sets (referred to as step A); an integration of each data type over time by manually calculating the change in expression (step B); and an approach in which data sets are integrated over multiple layers in the genome (and over time) by treating variables from the different data sets equally (step C).

To determine if graded anterior placement of a transposed inferior oblique muscle is beneficial for treating variable amounts of dissociated vertical deviation (DVD).

Roman Ciosek, a managing director of HighTower, a Chicago financial advice firm, treats variable annuities with great circumspection, as his peers do, but he considers the rates available in some income riders attractive.

Statistical significance of trend was calculated by categorizing exposure variables and treating scored variables as continuous.

§p values for trend derived by logistic regression analyses, treating categorical variables as continuous variables.

In multiple logistic regression models, we assessed linear trend by treating categorical variables as continuous variables.

Trend tests were performed by treating categorical variables as continuous variables in the regression analyses.

Deviance tests (comparing the fitted logistic regressions treating these variables as categorical and continuous), suggested that treating the categorical variables as continuous in the model (1) is adequate.