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More in detail, in this approach all predictor variables have to be coded to binary values (0 or 1) on the basis of their association with ICU morbidity.
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The mobility variable was coded to binary variable (no move/move)(Tables 2 & 3).
For highly skewed TLR responses with around 50% zero values (TLR4, 5 and 7), data were coded to binary form (responder/non-responder) and analysed using REML GLMMs specifying binomial errors (trial size = 1).
Each base pair could be coded to store two "bits" of binary computer code, which is made up of 1s and 0s.
Each variable was coded to a binary value 0 or 1, representing that a problem is present ("1") or absent ("0") [ 7].
The primary end-point (Pap test compliance) will be coded as a binary variable.
For someone who has been coded in binary, the Maybot finds it surprisingly difficult to give yes and no answers.
Prior to performing phylogenetic analysis, all gaps were coded as binary characters using GapCoder [ 75].
To carry out correlations in BayesTraits, all characters were coded as binary (e.g., presence/absence).
This scale was coded as a binary outcome to classify responders (<4) and nonresponders (≥4).
The constraints form an exclusive disjunction (XOR) which are coded using binary variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com