a–i. Logistic regression marginal effects and multinomial logit predicted probabilities of general election vote mode by age and party.</p
<p>Multinomial logistic regression analysis was performed to compare the odds ratio for demographic,...
Multivariable logistic regression model predicting the outcomes in the primary groups and the CHF su...
<p>* = significant at the .05 level, N = 700</p><p>Dependent variable: outcome of the voting on a mo...
a–i. Logistic regression marginal effects and multinomial logit predicted probabilities of primary e...
<p>Multinominal logistic regression models predicting present-day voting intention.</p
<p>Analysis of variance for multinomial logit models estimating the parties voted for.</p
<p>Results of logistic regression for prediction of voting behavior, separately for decided and unde...
Conventional, parametric multinomial logit models are in general not sufficient for capturing the co...
<p>Results of logistic regression analyses predicting voting behavior from explicit (EA) and implici...
This study provides a Bayesian investigation of rank-ordered multinomial logit models employing conj...
<p>Multinomial logistic regression- significant adjusted OR of characteristics and their association...
Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of multicandid...
<p>Multinomial logistic regression of change in healthy behaviour between waves 1 and 5 by anticipat...
Langrock R, Heidenreich N-B, Sperlich S. Kernel-based semiparametric multinomial logit modelling of ...
<p>Multinomial logistic regression coefficients for odds of abstention and heavy alcohol consumption...
<p>Multinomial logistic regression analysis was performed to compare the odds ratio for demographic,...
Multivariable logistic regression model predicting the outcomes in the primary groups and the CHF su...
<p>* = significant at the .05 level, N = 700</p><p>Dependent variable: outcome of the voting on a mo...
a–i. Logistic regression marginal effects and multinomial logit predicted probabilities of primary e...
<p>Multinominal logistic regression models predicting present-day voting intention.</p
<p>Analysis of variance for multinomial logit models estimating the parties voted for.</p
<p>Results of logistic regression for prediction of voting behavior, separately for decided and unde...
Conventional, parametric multinomial logit models are in general not sufficient for capturing the co...
<p>Results of logistic regression analyses predicting voting behavior from explicit (EA) and implici...
This study provides a Bayesian investigation of rank-ordered multinomial logit models employing conj...
<p>Multinomial logistic regression- significant adjusted OR of characteristics and their association...
Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of multicandid...
<p>Multinomial logistic regression of change in healthy behaviour between waves 1 and 5 by anticipat...
Langrock R, Heidenreich N-B, Sperlich S. Kernel-based semiparametric multinomial logit modelling of ...
<p>Multinomial logistic regression coefficients for odds of abstention and heavy alcohol consumption...
<p>Multinomial logistic regression analysis was performed to compare the odds ratio for demographic,...
Multivariable logistic regression model predicting the outcomes in the primary groups and the CHF su...
<p>* = significant at the .05 level, N = 700</p><p>Dependent variable: outcome of the voting on a mo...
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