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In the presented models, the outcome variables were defined as PISA scores in 2010 PISA20100).
Existing research on dispositional decisions typically models the outcome as merely placed or not placed.
On this sequential logic representation of the digital forensic process models, the outcome of the circuit is dependent on the input and current internal states.
In such models, the outcome of a test is assumed to be governed by two factors: the latent class of orthology status (true or false), and a second latent variable which summarizes the attributes of the subject (here, the homologous protein pair) and the test (here, the orthology detection method) that are not explained by the latent class of orthology status alone.
[ 24, 25] In both models the outcome was survival at 1 year.
In the current application of flexible parametric models the outcome is mortality.
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In the first models, the outcomes were fitted with each SES variable alone (Model 1).
In the models, the outcomes of the non-completers were also included during their time of participation.
In our model, the outcome payments should be financed through the cost savings and cost avoidances that result from our work.
In modeling the outcome of the above games our analysis uses the Stackelberg type of game.
A Cox regression model and Kaplan Meier curves were used to model the outcome measure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com