Sentence examples for prior variables from inspiring English sources

We often find ourselves with narratives that tell us how someone gets sick, and it might be that a useful narrative is one which isolates the temporally prior variables and lets us see how later phenomena depend on them.

The phylogenetically correct residuals used in the figures were taken from the PGLM model following the stepwise insertion of prior variables in the order listed in Table 1.

While canonical DA considers all variables simultaneously when building the discriminatory model, the stepwise method discriminates groups by iteratively incorporating variables that maximize the between- versus within-group variance after conditioning on prior variables included.

Interestingly, these features comprised, side-by-side, prior variables (e.g., age), event and injury parameters, immediate bodily responses (e.g., ED pain), symptoms (nightmares, loss of concentration, total PTSD and depression symptoms), clinicians' observations (e.g., CGI) and more elaborated subjective responses (need for help, sense of worthlessness).

There is no requirement for prior variable selection or stepwise regression techniques and the results are easily interpretable in terms of simple plots.

We look at three different prior variable distributions for the same-topology.

Cialdini et al. define consistency as the 'tendency to base one's responses to incoming stimuli on the implications of existing (prior entry) variables, such as previous expectancies, commitments and choices' [33].

Although the analysis is not shown in this paper, we did explore the effect of prior grouping variables.

Variable selection was undertaken manually, one variable at a time, and plots of residuals were examined prior to variable addition to ensure that the variable was included in the model using the least biased functional form.

Variable selection was undertaken manually, and plots of residuals were examined prior to variable addition to ensure that the variable was included in the model using the least biased functional form.

Plots of residuals were examined prior to variable addition to ensure that the variable was included in the model using the least biased functional form.