# Tagged Questions

32 views

### Ordinal regression models vs. nominal regression models

Suppose we are trying to decide whether to use an ordinal regression model or a nominal regression model. If we know that the outcome variable is ordered should we still use a nominal regression model ...
47 views

### Multinomial logistic regression for big data

How do I go about doing a multinomial logistic regression when I have 70 million observations? Is it feasible? It seems that R is out of the question due to memory constraints?
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### glmnet converges extremely slowly for multinomial with mass function concentrated at one point

If I have a response vector that is mostly one class label, convergence of Lasso in glmnet will be extremely slow, for example: ...
93 views

### How to find cutoff values in multinomial regression?

Updated I have a data set with five continuous variables measuring an index in a population. For finding underlying classifications in the population based on the five observed variables, I did a ...
91 views

### Categorical response variable prediction

I have the following kind of data (coded in R) ...
28 views

### Aggregating or Pooling Multinomial Logistic Model Coefficients

I'm trying to recreate the MNL analysis like this paper or this one. In Excel I have a sheet with my choice column which contains the market share on each itinerary. Alternatively I also have the ...
93 views

### Multinomial logit regression with ordinal independent variables

I've got some ordinal variables b and a and a categorized variable c. I would like to fit a multinomial logit regression from the library car. I tried to ignore the ordinal scale. I have the ...
125 views

### Predicted probabilities for multinomial logistic regression

I have three variables, a factor (c) as the dependent variable and two ordinal independent variables (a, b). Each variable has ...
128 views

### Prediction using multinomial logit regression in R

I've got three variables, a factored (c) and two ordinal independent (a,b). Every variable has five categories (1,2,3,4,5). Thus, I fitted a multinomial logit regression (testus, see below) with the ...
50 views

### Using a set of binary logistic regressions with multiple choice categorical response variable

I have categorical survey data on people's attitudes towards a certain policy area from 13 countries. The response variable is categorical, and includes 4 distinct answers that cannot be ordered. I ...
60 views

### Confidence interval for predicted probabilities

I fitted the following multinomial regression: ...
131 views

### Multinomial logistic analysis

I am estimating a logistic model for a binary $Y$ (0=controls, 1=cases), and a set of covariates ($x_1, x_2, x_3, \ldots$) including sex (male, female). I know from the data that risk of $y$ is quite ...
28 views

### Regression for categorical y and proportional and discrete xs

I have a model with a categorical dependent variable and independent variables that contain a proportional variable also. It appears that multinomial would be an ideal fit, but am not certain on how ...
124 views

### Nested Logit model in r

I am trying to run a nested logit using mlogit in R to analyze data from choices people made. There are 4 possible alternatives they could choose from, but in any given choice situation a person had ...
155 views

### Which is applicable, ordinal or multinomial regression model?

I have done a job satisfaction survey where the DV is a 7 point Likert type scale and 5 IVs with 6 point Likert-type scale and 6 IVs with 5 point Likert type scale, all ordinal. Which type of ...
103 views

### Singularity issues in multinomial logit model with differing choice sets

I am estimating a discrete choice model in which individuals choose which schools to attend. I have a large amount of data on individuals and schools. However, each particular school only appears in ...
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### Given the below dependent variable description, should I chose either Ordered or Multinomial logistic regressions?

My dependent variable looks like a range of ranks. It actually might be considered that way. But the ranking is based on subjective non-quantifiable cutoffs. We assessed the behaviors of a group of ...
126 views

### Several logistic regressions vs multinomial regression

Is it viable to do several binary logistic regressions instead of doing a multinomial regression? From this question: Multinomial logistic regression vs binary logistic regression I see that the ...
177 views

### Luce choice axiom, question about conditional probability

I'm reading Luce (1959). Then I found this statement: When a person chooses among alternatives, very often their responses appear to be governed by probabilities that are conditioned on the ...
78 views

### Parameters for a Hierarchical Multinomial Regression

I am trying to fit a hierarchical multinomial regression to cross sectional data. I have around 2000 units with only one observation per unit. I have a binomial response variable and 14 dummy ...
1k views

### Multinomial logistic regression vs binary logistic regression

Lets say we have a dependent variable $Y$ with few categories and set of independent variables. What are the advantages of Multinomial logistic regression over set of binary logistic Regressions? ...
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### Nested outcome categories in a multinomial logistic

I’m modeling a target-shooting video game. A player can shoot and hit the target, shoot and miss, or switch weapons. For simplicity, the outcomes are HIT, ...
122 views

### Question about the validation step for a multinomial logit model

I've been skimming through a couple of books (all german ones, hence I do not cite them here) at what residual plots one should look at if the usual model assumptions in the context of a multinomial ...
136 views

### Multinomial log. regression in SPSS with a dummy independent variable

This is my test design which is simply a grouping variable: When I choose to regress a gender variable (w/m) onto this grouping variable with a multinomial logisitic regression model I'll observe ...
930 views

### Determining which variables have been dropped using cv.glmnet in R

I have a large amount of vegetation data that has been broken down into 13 habitat classes. I am trying to determine which vegetation tends to fall into or is absent from which habitat with any sort ...
76 views

### Multinomial logistic predictor matrix

I'm reading Tuerlinkx & Wang, "Models for Polytomous Data". They write: "Apart from the intercept, the predictors that are included in the predictor matrix X can be classified into seven groups: ...
158 views

### Multinomial regression with categorical choice and predictos and factor analysis

I have a non-ordinal categorical dependent variable with 3 choice outcomes and 20 ordinal categorical predictors and want to do a multinomial logistic regression. However, I want to reduce the ...
833 views

### Interpreting multinomial logistic regression output in R

I am trying to perform multinomial logistic regression on my data which is as below(just the header). "category" is my target variable and all other variables are independent variables. category has ...
1k views

### R: mlogit error on data - “system is exactly singular”

So I have data from a randomized blind trial of 1mg of nicotine gum on dual n-back working memory scores; I analyzed them as usual with a t-test and found a small increase in means but a large ...
141 views

### Reference category in multinominal logistic regression

I was wondering how you get beta values for the final model if you don't have a reference condition? I am running a multinominal logistic regression using a dependent variable that has 6 levels - ...
314 views

### Binomial / multinomial logistic regression or chi-squared

I am currently doing my fourth year thesis examining the moral stages of children/adolescents. The DV is the moral stage (categorical variable, stages 1, 2, 3, or 4) and the IVs are age group (I ...
904 views

### Is there any criterion about choosing reference factor in multinomial logistic regression?

I have a dependent variable that includes four categories. I also have four continuous independent variables. The 3rd category covers the largest group in the sample. Is it important to choose the ...
116 views

### How do I handle categorical dependent variables with low level percentages in multinomial logistic regression?

I have a categorical dependent variable that involves four clusters of positions. In descriptive analysis, I noticed that first cluster covered about 5% of the participants, second 6%, third 60%, and ...
654 views

### Alternatives to multinomial logistic regression

I have been using a multinomial logistic regression to examine the correlates of school choice. There are three possibilities for the dependent variable: government school, private school, and NGO ...
888 views

### Logistic regression for multiclass

I got the model for the logistic regression for multiclass which is given by $$P(Y=j|X^{(i)}) = \frac{\exp(\theta_j^TX^{(i)})}{1+ \sum_{m=1}^{k}\exp(\theta_m^T X^{(i)})}$$ where k is the number ...
1k views

### Whether to use multinomial logistic regression with a three-category outcome variable and many binary predictors?

I have a dependent variable made up of 3 categories and 14 binary predictor variables. I have tried using mlogit and ...
964 views

### Multinomial logistic regression assumptions

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

### Multinomial logistic regression

I would like to get help from an expert or anyone who knows about this. As a beginner in SPSS, I've googled the steps to do multinomial regression. I've decide to use multinomial because from what I ...
322 views

### Learning error of mlogit

I am using the mlogit R package. For a subset of my dataset, mlogit is learned ok. For another subset of my dataset, I get this error. ...
1k views

### How to do logistic regression in R when outcome is fractional?

I'm reviewing a paper which has the following biological experiment. A device is used to expose cells to varying amounts of fluid shear stress. As greater shear stress is applied to the cells, more of ...
109 views

### Estimating changes of choice probabilities with choice removal in nested logit

Suppose that I have a nested logit model. I can estimate the probability of making a particular choice for each decision maker. Now, I want to remove one or more of the choices (though each nest keeps ...
473 views

### Using multinomial logistic regression for multiple related outcomes

Is it common practice (and adequate) to regroup two binary dependant variables into a single 4-level dependent variable to take advantage of the multinomial regression? For instance, say we have ...
410 views

### How to write a multinomial logit model as a generalized linear model?

Logistic, linear and probit regression can be written in terms of Generalized Linear Model (GLM). Can the multinomial logit regression be written in terms of GLM as well?
185 views

### What makes the formula for fitting logistic regression models in Hastie et al “maximum likelihood”?

I am learning logistic regression from The elements of statistical learning: data mining, inference, and prediction, by Trevor Hastie, Robert Tibshirani, Jerome H. Friedman. Suppose $G$ is a random ...
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### Should a predictor, significant on its own but not with other predictors, be included in an overall multinomial logistic regression?

I constructed a model via multinominal logistic regression analysis. The final model contains three predictors. All predictors are significant when they are the only predictors. However, the ...
333 views

### What do I gain if I consider the outcome as ordinal instead of categorical?

There are different methods for prediction of ordinal and categorical variables. What I do not understand, is how this distinction matters. Is there a simple example which can make clear what goes ...
2k views

### Unexpected singularities in the Hessian matrix error in multinomial logistic regression

I have been doing multinomial logistic regression analysis using SPSS 19. I have encountered the following problem when I run the analysis procedure: "Unexpected singularities in the Hessian ...
580 views

### Problem building multinomial logit model on huge data in R

I am attempting to build a Multinomial Logit model with dummy variables of the following form: The dependent variable represents 0-8 discrete choices. Dummy Variable 1: 965 dummy vars Dummy Variable ...