Questions tagged [multinomial-logit]

Multinomial logistic regression models a categorical dependent variable that can take on >2 different levels.

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K-fold cross validation in a multinomial logistic regression problem

I'm currently trying to build a classifier via a multinomial logistic regression model using k-fold cross validation. In my current development, I've chosen K = 5, the full dataset contains 205 ...
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How to predict the class membership using the multinomial logistic regression?

I have the three classes and the true regression coefficients for two predictors and one intercept for each class as ...
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Odds Ratio for Reference Class in Multinomial Logistic Regression

I have the following problem: I have the following problem. Let's say I want to classify in three classes using multinomial logistic regression. Let's call the classes a,b,c. Now, obviously, I only ...
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The conditional logit model needs to have a choice fixed effect?

Considering this explanation, I understood the intercepts as a choice fixed-effects. Does the conditional logit model needs to apply a "choice fixed-effect"?
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I try to replicate the results of multinom() function with optim() function in R, but it does not yield the same results. What was wrong?

I want to replicate the results of multinom() function with optim() function in R, but it does not yield the same results. What was wrong? First, I imported a public data as "ml". ...
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Predicting Probabilities of non-binary outcomes with multivariate adaptive regression splines (MARS) in R

I have three non-binary, discrete variables X0.1, X0.12 and X0.15. I want to model X0.1 as a MARS model of X0.12 and X0.15, then using the model answer queries of the form P(X0.1=x|X0.12=y, X0.15=z). ...
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Discrete choice model with different choice set for each sample

Data I have observational data of $N$ rows (samples). In row $n$ individual $k_n \in \{1, \ldots, K\}$ from a population of $K \ll N$ individuals chooses one option $y^{k_n}_n$ from $J_n$ options, ...
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Multinomial GLM Pearson residuals

The general formula for Pearson's residual is given by: $$ e_i = \frac{y_i - \hat \mu_i}{\sqrt {V(\hat \mu_i)}} $$ But in the multinomial case, the sum of the squared residual, which is the Pearson ...
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How to check for outliers and leverage values in SPSS when conducting a multinomial logistic regression?

I am conducting a multinomial logistic regression in SPSS. I want to check for the presence of outliers and high leverage values. How do I do that in SPSS?
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probability in mixed multinomial logistic regression

I am using MCMCglmm package in R for my multilevel multinomial logistic regression model. I have a level-1 binary outcome 'Sex', which was coded as 1,2, and a level-1 three category unordered ...
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Difference between marginal effects at the mean and average marginal effects in a logistic regression model? [duplicate]

I am new to the categorical data analysis. Can someone explain to me in the in the simplest possible way: What is the difference between the predicted probabilities and the marginal effects in a ...
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Country fixed effect for panel multinomial logit model

I am suffering from a pretty complicated model, the panel multinomial logit model with country fixed effect. My problem is that I am not sure how to specify the model since the unobserved country ...
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How to report results from a multinomial logistic regression?

I have run a multinomial logistic regression and am interested in reporting the results in a scientific journal. Would it be alright to include a model summary table with the coefficients, standard ...
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35 views

Analysis of multinomial logit model

I am trying to analyse some data using a multinomial logit model, and I have a few questions regarding its interpretation. Essentially I have data from cells from four different tissues. Each cell ...
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Nested Logit in R

I am trying to estimate a nested multinomial logit model for transportation mode in R. I am using the following model. ...
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Nested Multinomial Logit Estimation

I am trying to estimate a nested multinomial logit model for transportation mode - the decision tree of how consumers choose a travel mode for a trip. One way of estimating the nested multinomial ...
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Interpretation of coefficients from multinomial logistic regression

I have run a multinomial logistic regression model with a four level response variable (walk, bike, bus and car) and two predictor variables being their gender (female/male) and where they live (urban/...
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How do I interpret a variable that is significant in a multinomial logistic model but not in an ordinal logistic model?

After fitting a multinomial and ordinal logistic models, an interesting results shows up. This is the multinomial logistic regression: And this is the ordinal logistic regression: As you can see, ...
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Linear regression or logistic regression or other for my problem?

I am working on a physics problem, where I am unsure of the best/most appropriate statistical method to apply. I have some limited working understanding of statistics. The physics problem I am ...
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Is multinomial logistic regression really the same as softmax regression

Multinomial logistic regression (MLR) is an extension of logistic regression for more than $2$ classes. The extension is made up by keeping linear boundaries between classes and using the class $K$ as ...
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How to conduct DFFITS and DFBETAS for a multiclass logistic regression problem?

Can anyone help me out how to conduct DFFITS and DFBETAS for a multiclass logistic regression problem? That is, do we have a software(preferably R) implementation of it? I also couldn't find the ...
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Predicting logit regression using confusion matrix problem!

I keep getting the same classifications for all the predictor regressions. I have cut the data into training and test as mentioned other problems (654 observations-training) and 218 observations-...
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Mixed logit with only one choice situation/observation per individual - valid to use?

I have data from an experiment where participants had to choose one of 12 alternatives. I analyzed the data with a conditional logit model. That is I used the attributes of the choices to explain ...
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Differences between multinomial models (mgcv and nnet)

I'm trying to understand the differences I see when applying multinomial logistic regression models in R using nnet and mgcv. For comparison purposes with glm() let's take only two levels for the ...
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How to test the Linearity Assumption in Multinomial Logistic Regression (in R)

So I'm currently trying to use a multinomial logistic regression model in R on a data set with 13 variables (mix of continuous and categorical) and 33,000 observations, where the dependent variable ...
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Logit Regression with Lag data and different time interval

I recently completed the Datacamp tutorial on logit regression. The tutorial utilizes the ISLR package and the SMarket data set and is aimed at forecasting stock prices. The data set includes ...
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¿Do i need to normalize/transform data in a multinomial (nnet:multinom) model? + Dropping variables by Likehood

So, im working with a dataset with controls and 4 diseases, its indeed a nested model cause they are 2 diseases with 2 level each, but i do not know well how to model it. The thing is i got over 40 ...
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Difference in proportion across study types based on count data from multiple studies?

We have the following situation. We have collected count data from a number of studies. Specifically, we looked at the number of people of each race in each study's cohort. We also collected a number ...
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compare two bradley terry models

I have pairwise comparisons data that I converted into Bradley terry parameters. If I have BT parameters from two different occasions, what is the right way to test the null hypothesis that both ...
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Determine ordering in ordered logit model

We know that in our sample there is a clear ordering present however, we are not aware of the ordering itself. Is there a way to test for this or in any other way to determine this? Is this possible ...
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Null values correlated with dependent variables in logisitic regression

I am running a logistic regression on the binary variable of whether an application for a program was eligible (1) or not (0). One of the independent variables is a categorical variable of business ...
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Why does estimating $k - 1$ probabilities in multinomial regression is way better than $k$? [duplicate]

I am probably going to ask dumb question, but I think I can't understand the crucial advantage of the multinomial regression compared to just logistic regression. Or is it just generalization of the ...
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Multinomial logistic regression v chi-square

I run an experiment with two treatments. My dependent variable is a categorical variable with three levels - participants choose either no product, product A or product B. What I want to do now is to: ...
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Multinomial Logit

I'm trying to fit a model with statsmodels, Multinomial Logit Model. This works fine, but I'm quite unsure if it is the right model for my case and how to treat my independent variables. So my ...
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How to estimate a nested logit model using mlogit in R in the case of panel data and degenerate branche?

I'm using a Discrete Choice Experiment. I have 9 choice sets with 3 alternatives (2 alternatives and an opt-out), the alternatives are described with 4 attributes. I want to use a nested logit model ...
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1answer
122 views

Why is there a difference between chi-square and logistic regression?

I have two categorical variables: gender (male & female) and eye color (blue, brown, & other). And I also have age. I used the chi-square test and the multinomial logistic regression. When ...
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Interpreting results of multinominal logistic regression

I have run a multinominal logistic model with my dependent categorical variable, WINNING_PARTY, taking the following values: gov, corp, org, indiv, univ, or in part....
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How to add Indivivual Specific Variables for unlabelled alternative (using interactions) using mlogit with R?

I’m using DCE with unlabelled alternatives, 9 choice set with 3 alternative each (2 option and Optout alternative), described with 4 attributes. I've started with a conditional logit (with only ...
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multi class text classification with multiple dependent variable to one set of predictors in r

I am doing multi class classification in text in r on a dataset containing two columns; feedback and topics. Some feedback has been assigned to more than one topics and some more than two but most of ...
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Contrast coding DV in multinomial regression

In a multinomial logistic regression (for example, with 3 levels of a categorical DV), my understanding is that the DV is essentially dummy-coded, with coefficients corresponding to differences ...
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346 views

Get equation from glm coefficients: calculate y manually?

I am trying to understand the math behind the glm(). Specifically, how to apply equation based on model predictors to calculate my ...
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nnet::multinom confidence intervals extremely narrow, when mean of independent variable >> variance

I am using the package nnet to fit multinomial regression models using multinom(). When fitting the model using an independent ...
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Significance of fixed effect coefficients in multinomial logistic regression

I am trying to do a multinomial logit regression, and I understand that the fixed effects coefficients are a bit difficult to interpret and that they can in some cases be 0 or negative but actually ...
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Estimating a multinomial logit with random effects in R

I have the following data-structure: we observe individuals $1...N$ multiple times for a different wheather (can be rainy or sunny). Furthermore we have the age for each individual and the choice he ...
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Interpretation of effects plot in latent class regression

I'm fitting a latent class model with covariates using poLCA in R. It seems to work fine, but I have some trouble understanding ...
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Should I use a GEE model for a mixed logistic regression problem with a multinomial outcome?

I'm trying to model linguistic data where my hypothesis assumes that a multinomial categorical response from a subject is a function of fixed effects (gender and subject's occupation, say) and, since ...
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Literature on multinomial logistic regression with random effects

The title pretty much says it all: I am looking for a good reference to understand multinomial logistic regression with random effects and the estimation of such models. Furthermore, I am also looking ...
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1answer
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Is a multinomial logit model just the maximum of many logit models?

I'm trying to understand how a prediction from a multinomial logit model compares to a prediction from many logit models. A few videos and wikipedia have lead to me to believe that the categorical ...
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Testing for equality in single-response-category proportions in a multinomial sample

Problem: I have a multinomial variable with three response categories. I am asked to test the effect of certain categorical predictors on the proportion of each category. To my understanding, this ...
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Using multinomial logistic regression to test for heterogeneity

I have been asked to use polychotomous logistic regression to test for heterogeneity or independent variable across multiple outcomes levels, and then change-in-estimate method to identify other ...

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