Tagged Questions

0
votes
0answers
62 views

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). $x_{mj}$, $x_{pj}$ ...
0
votes
0answers
46 views

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 ...
0
votes
2answers
147 views

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? ...
0
votes
1answer
124 views

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 ...
4
votes
0answers
115 views

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 ...
4
votes
2answers
329 views

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 ...
1
vote
0answers
52 views

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 ...
0
votes
2answers
143 views

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 ...
5
votes
1answer
431 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 ...
7
votes
4answers
547 views

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) ...
2
votes
1answer
94 views

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 ...
0
votes
0answers
767 views

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, ...
1
vote
0answers
57 views

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 ...
3
votes
1answer
167 views

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 ...
3
votes
2answers
333 views

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 ...
2
votes
1answer
140 views

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 ...
2
votes
3answers
364 views

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: ...
7
votes
2answers
246 views

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 ...
3
votes
0answers
386 views

Computing platform for R: System76 Linux laptop with dual core i5 or quad core i7?

Even though this is not directly a question related to statistical analyses, I thought this group might have some useful insights. My school windows-xp based workstation takes several hours to run ...
10
votes
2answers
5k views

Understanding AIC and Schwarz criterion

I am running a logistic model. The actual model dataset has more than 100 variables but I am choosing a test data set in which there are around 25 variables. Before that I also made a dataset which ...