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The dependent measure was the dichotomous outcome of hard or easy task choice, and we used a binary logistic distribution to model the probability of choosing the hard-task.
As confirmation, we used a binary logistic regression model.
For multivariate analyses, we used a binary logistic regression.
We used a binary logistic regression model to identify potential predictors for increased anxiety levels.
We used a binary logistic regression to examine factors associated with whether or not service users and front-line professionals had been involved in user involvement activities.
We used a binary logistic model and the variance-covariance for all models was assumed to be block diagonal, but unstructured within a block defined by subjects.
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The first stage uses a binary logistic model to determine the overall crash severity level.
As for detailed analysis, lane blockage probability is interpreted by using a binary logistic regression model.
This analysis, using a binary logistic regression model, was aimed at identifying factors that predicted marrow graft rejection.
Multivariate analysis was also performed using a binary logistic regression models and a forward stepwise (likehood ratio) procedure.
All of the statistical analyses in this study were performed using PASW software, version 18. H1 was tested using a multiple regression analysis and H2, 3, 4, 5, 6, and 7 were tested using a binary logistic regression analysis.
More suggestions(15)
used a generalized logistic
used a conditional logistic
used a binary dependent
used a binary white
used a univariate logistic
used a multivariable logistic
used a conventional logistic
used a binary marginal
used a stochastic logistic
used a multivariate logistic
used a mixed logistic
used a weighted logistic
used a multinomial logistic
used a separate logistic
used a simple logistic
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