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A person was considered to have experienced or perpetrated IPV if a violent event occurred once or more over the past 12 months, and this was recorded as the binary outcome variable (yes or no) in our analysis.
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The use of electronic information resources was treated as a binary outcome variable (0 = no, 1 = yes).
Prescription of metformin (yes vs no) was the binary outcome variable, and patient's age, sex and the presence or co-morbid cardiovascular and renal disease were included as potential confounders.
A binary outcome variable was used that could be incomplete versus complete registration of the intervention.
As Greenland et al. explain [ 22], in some situations measurement error in the form of non-differential misclassification of a binary outcome variable (e.g. death yes/no) does not result in biased risk ratios.
We then developed a binary outcome variable.
The binary outcome variable was <8 and ⩾8.
The dependent binary outcome variable was poor control of asthma.
For dca, the user inputs a binary outcome variable and one or more predictor variables.
We employed logistic regression when studying how a binary outcome variable changes with input variables.
Logistic regression was used to assess binary outcome variables.
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