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How can I look for collinearity diagnostics, particularly condition indexes and proportions of variance in Multinomial logistic regression? …

I wonder if running two binary logistic regression can be another way of running one multinomial logistic regression. … I understand that multinomial logistic regression runs binary logistic regression for k-1 categories. …

What are the proper assumptions of Multinomial Logistic Regression? And what are the best tests to satisfy these assumptions using SPSS 18? …

Is there a difference between the two models Multinomial logit regression Multinomial logistic regression? …

I have not been able to find much information about how to conduct a power analysis for a multinomial logistic regression. … My questions are as follows: is a multinomial logistic regression the right statistic for this scenario? if so, how to conduct a power analysis for multinomial regression? …

I am using multinomial logistic regression (nnet package in R) to predict a categorical outcome (four categories) with three independent variables. … Is it possible to run multi-group multinomial logistic regression in R? I know this is possible in MPlus, but I was not successful in finding a way to do it in R. Thank you …

What are the sufficient conditions for identifiability of regression coefficients in multinomial logistic regression generally? …

If for each subject, there are multiple outcomes, would multinomial logistic regression still be favorable to use? …

My understanding is that multinomial logistic regression directly estimates RRRs, and so an approximate conversion from ORs to RRs based on the rare disease assumption is not required, and hence the rare … For multinomial logistic regression, do each of the non-reference categories need to have a prevalence of roughly less than 10% for the transformed coefficients to be interpreted as RRRs? …

When is better to use classification and when is better to use multinomial logistic regression? …

I want to simulate multinomial logistic regression model i have 3 independent continuous variable. I need to simulate a dependent variable which have 5 levels with suitable beta coefficients. …

What are the proper assumptions behind multinomial logistic regression? And what are the best tests to satisfy these assumptions in any statistical software? …

I need to analyse data and am unsure whether or not I should use a multinomial logistic regression analysis or a binary logistic regression analysis. …

I am using MCMCglmm package in R for my multilevel multinomial logistic regression model. … coeffecient of SES in the multinomial logistic regression is 1.0324, but which category of 'mathach' does the coefficient refer to? …

Typically, this can be done through multinomial logistic regression where the inputs are $x^{(i)} \in \Re^{n}$, and where given a test input $x$, we want our hypothesis to estimate the probability that … The "flaw" I can see when using Dirichlet regression is that none of my output variables can have a value of zero or one, in contrast to the multinomial logistic regression. Any advice here? …