All Questions
7 questions
3
votes
2
answers
546
views
Variable selection in logistic regression [duplicate]
So I'm trying to make a multivariate logistic regression model in R studio. I'm not sure how to go about this. What seemed to make sense to me was to model every predictor against the response ...
- 126
1
vote
1
answer
65
views
How to give more importance to one variable in a logistic regresion model? [closed]
I'm adjusting a logistic regression model for prediction, but if the person interested says: All variables are important for me, but especially X2 is more important.
How I give that variable more ...
- 11
1
vote
2
answers
160
views
How well does my logistic regression model fit?
I performed a logistic regression to my dataset which has 6 variables. I got output from R as the following:
I used the step() ...
- 21
2
votes
0
answers
289
views
How to predict the probability of a discrete choice problem?
I am looking for a discrete choice model (e.g. a logit) to describe the reaction of a pedestrian when a car is arriving. Depending on the severity of the conflict and other geometrical parameters, he ...
3
votes
2
answers
299
views
Avoiding Bias Through Model Selection
I have a application where a logistic regression model is used to make a decision. Each time a user enters the application the model is fed inputs, and it outputs some decision. The first model was ...
- 153
2
votes
1
answer
168
views
c-index for parametric links in binary regression
I am conducting a binary regression using different sorts of parametric links (logistic, Pregibon, Aranda-Ordaz, ... see) and I would like to compare their predictive and classification perfomance in ...
- 23
3
votes
1
answer
438
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 ...
- 315