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In the third and fourth models, the dependent variables were treatment response and full remission, respectively.
In both models, the dependent variables are opinions about the roles that the state should play.
In contrast to y-scrambling for QSAR models, the dependent variable in the SALI formalism is a function of the activity and similarity.
In the first and second models, the dependent variables were VAS scores (pain intensities of each pain) at baseline and post-treatment, respectively.
In the first and second models, the dependent variables were MS/P (VAS scores) in the five areas at baseline and follow-up.
In all models the dependent variable is the ordered categorical variable l it = 1, 2, 3, corresponding to whether the woman declares herself to be in the "no work", "part-time" or "full-time" status, respectively.
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The best-fitted quadratic model for each lustrum was obtained by modeling the dependent variable yield against independent variables plant density for each lustrum in a mixed model.
In a logit model the dependent variable is determined in terms of probability.
Another model that can be used to model the dependent variable with zero values is the hurdle binomial model.
In the case of the outcome model, the dependent variable is whether a farmer has adapted or not to climate change.
In estimating the logit model, the dependent variable is invasion by Prosopis, which takes the value of 1 if a household is invaded and 0 otherwise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com