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The model fit will be: Logit y ijk ) = β 0 + β 1 x 1 + β 2 x 2 + β 3 x 3 + ε ijk Here yijk is a binary response representing whether an event (i.e. one of the components of a composite outcome) has occurred (coded 1) or not (coded 0).
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The response variable was a binary variable representing whether the gene was involved in a particular biological function.
(mathrm{Win}_{t-1}) denotes the binary variable representing whether the team has won the previous match (0: no win, 1: win).
As independent variables, we included the binary variable representing whether or not the stadium was the home of the team (i.e., home or away) and the ternary result of the previous match (i.e., win, draw, or loss).
A binary feature representing whether the window conforms to the consensus site was also used.
Predictor variables were transformed to binary categories representing whether or not refeeding syndrome had been diagnosed.
We let t n be a binary variable representing whether node i is removed and denote by F the set of all forbidden induced subgraphs of a line graph.
In this paper, the public signal is binary, representing whether the statistical test is passed or not.
In this study, we treated blood pressure as a binary trait HP representing whether the hypertension status is yes or no.
Let R be a binary random variable representing whether an arbitrary data point X is 'relevant' for a given query set S (R=1) or not (R=0).
Binary ties represent whether or not a relation exists, while valued ties include additional quantitative information about the relation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com