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where Y i is the binary outcome variable of interest (for example, Y i = 1 denotes employment of individual i and Y i = 0 denotes non-employment), X i is a vector of covariates (at individual and regional/agency level) and S i is a dummy variable indicating whether individual i has been sanctioned (S i = 1) or not (S i = 0).
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Because the outcome variable of interest in this analysis is binary (case status), a logit link was assumed for g.
In order to explore any existing relationship between the outcome variable of interest and some selected determinants, a binary variable that identifies whether a condom was used (or not used) in the last extramarital sex was created as the outcome (dependent) variable, as described earlier.
The primary outcome variable of interest was willingness to donate.
Y ijt is the outcome variable of interest.
The primary outcome variable of interest was implant failure of the mini-implants.
The outcome variable of interest, (y_{is}), can be either productivity growth or size growth.
The outcome variable of interest was mortality, defined as death prior to hospital discharge.
ICU mortality was our main outcome variable of interest.
Hospital mortality was the outcome variable of interest.
Our outcome variable of interest is age at BCG immunization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com