# Tagged Questions

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### Steps followed when Binary logistic regression when both dependent and independent variables are binary

I had set of binary variables. To apply logistic regression, I have checked association between dependent and independent variables and considered only those independent variables in the model which ...
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### Comparing nested binary logistic regression models when $n$ is large

To better ask my question, I have provided some of the outputs from both a 16 variable model (fit) and a 17 variable model (...
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### Effect of Wald-test and collinearity on Logistic Regression model selection

A researcher is interested in how variables, such as GRE (continuous), GPA (continuous) and rank of the undergraduate institution (categorical), affect admission into graduate school. The response ...
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### Blocks and other questions about logistic regression with SPSS

I am trying to use logistic regression in SPSS. I am wondering, do I have to tell SPSS that, for example Gender, is a categorical variable? Also, I am planning to ...
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### Model selection using a standard p-value approach

I need to perform model selection using a standard p-value approach. Using logistic regression we would like to compare the following models: ...
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### Alternatives to stepwise logistic regression with LARGE datasets

After reviewing related questions on Cross Validated and countless articles and discussions regarding the inappropriate use of stepwise regression for variable selection, I am still unable to find the ...
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### Best subsets with logistic regression in R? [closed]

@Dmitrij Celov posted an answer to the question How to do logistic regression subset selection saying that this paper was a good reference. I was wondering if anyone knows if any of these authors ever ...
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### Using logistic regression to fit a weird dataset

I have the variables $Y$, $x_{m1}$, $x_{m2}$, $\ldots$, $x_{mn}$, $x_{p1}$, $x_{p2}$, $\ldots$, $x_{pn}$, $x_{q1}$, $x_{q2}$, $\ldots$, $x_{qn}$. $Y$ is the class label (0 or 1). $x_{mj}$, $x_{pj}$ ...
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### Confusion while using lassoglm

I am trying to fit a logistic regression model with L1 regularization on my data. My data has just 12 examples with 150 features. So I used L1 regularization. Now when I use the lassoglm function like ...
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### Logistic regression and odds ratio

If the odds ratio is greater than one with an insignificant p value for a variable in logistic regression should the variable be kept in the model? Can I select the variable with odds close to 1? ...
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### Variable selection and logistic regression

I am using Matlab, I have a $600 \times 9$ matrix with each row representing the 9 features which I am trying to evaluate using logistic regression. I understand that I need to perform feature ...
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### Logistic regression model for analysis of many IVs with a relatively small sample size

I'm trying to determine the influence (direction and relative strength) of certain attributes of incoming students to an academic program on their successful completion of the program. My sample size ...
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### How do important and insignificant variables impact model?

I am working to build a model using logistic regression. There is one variable which has strong predictive power. But based on business rule, I cannot include this variable in the model. On the other ...
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### Regression Analysis model

Objective is to predict a car's retail value based on the characteristics of mileage, make, model, engine size, interior style, and cruise control. Price The price of the vehicle Cylinder ...
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### How to compare whether models built using two different outcomes are significantly different

I would like to build the relationship between the dose given and two outcomes (one acute toxicity and one late toxicity). The model I used was binary logistic regression. For the acute toxicity ...
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### 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 ...
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### Model selection and model performance in logistic regression

I have a question about model selection and model performance in logistic regression. I have three models that are based on three different hypotheses. The first two models (lets name them z and x) ...
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### Accuracy vs. simplicity as criteria to select explanatory variables

I want to create a binary model which predicts whether someone has improved his state. I am testing possible variables as explanatory variables in order to make some recommendations. Now my binary ...
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### How do I conduct model selection for logistic regression in SPSS?

I am analyzing a set of clinical data where I try to predict an outcome by using certain covariates. I have already done univariate analysis and now am progressing to binary logistic regression, ...
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### Evaluation of groups of parameters across multiple data sets in logistic regression

I have a logistic regression problem where I want to evaluate the aggregate contribution of groups of parameters (independent variables) across different sets of observations. For instance, let's say ...
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### Why does -2*LL differ when using binary logistic regression vs GLM binary logistic in SPSS?

I'm comparing plausible models selected a-priori to predict a binary response variable. I used binary logistic regression in SPSS20 and obtained AIC=-2*LogLikelihood+2k where k is the number of ...
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### 52 variables after backward variable selection on logistic regression on 160 variable at beginning, whether it is illusion or good modeling

Thank you for you guys effort on building such a nice community and I learned lot by reading and asking. Background about my logistic regression: Target Variable: Binary target about volatility of ...
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### Logical extensions after logistic regression

I have a number of predictors to use for a binary (Classes 0 and 1) classification task. Let us call them $x_1, x_2, x_3, ... x_n$. The way these are calculated, my naive heuristic assumption is that ...
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### Inference about the outcomes of two logistic regressions

I have run two separate logistic regressions and would like to assess which model fits the data better. Each model has 1 predictor. Here's the output for both: Model 1: ...
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### Discussing binomial regression and modeling strategies

Today I have got a question about binomial/ logistic regression, its based on an analysis that a group in my department have done and were seeking comments upon. I made up the example below to protect ...