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The parameter φ b on which the above signal depends via Equation 3 was left variable to allow for experimenting with different values of it.
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This model was written after a Boolean coding of the significant variables except for stage grouping that was left as a three-modality variable: categorical variables (such as performance status) were transformed into binary variables (0: negative or 1: positive).
If a variable was not reported at the animal level, the variable was left blank.
For the VR-Colonoscopy task variable Pain again single incidents would lead to very different values, so this variable was left out of the analysis.
The border variable was left off as zero in every case, as the nearest international border to Cincinnati is about 5 h drive by automobile.
Age was not significantly (p = 0.09) associated with influenza A virus group status; however, the variable was left in the model because of confounding (Table 3).
As lactate had almost 50% missing values and was measured with two different methods, this variable was left out from the analyses.
Previous work has shown that finding such optimal strategies even for polytree-shaped diagrams with ternary variables and a single value node is NP-hard, but the case of binary variables was left open.
We noted the ORs for HIV and HR-HPV when each of the variables was left out of the model and also when it was put back in the model.
The variable loop region was left out since it can not be depicted by this approach.
Female gender turned out not to be significantly associated with abdominal symptoms when the variable "treatment courses" was left out from the multiple regression analysis (data not shown).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com