All Questions
Tagged with model-selection logistic
82
questions
3
votes
2
answers
144
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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 ...
- 127
1
vote
1
answer
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Is 0.1542 Mcfadden's Pseudo R2 acceptable in general?
I am conducting logistic regression and got 0.1542 as pseudo R2, and it is based on Mcfadden's.
I've searched materials about this, because this is my first time that modelling logit models, and found ...
- 23
3
votes
1
answer
88
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compare model fit logistic regression negative two times log likelihood
I'm trying to decide between two logistic regression models. I think I've used the negative two times log likelihood criterion before. My two models are not nested - can I still use that approach? ...
- 53
4
votes
2
answers
2k
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Comparing logistic regression coefficients between different datasets
I have multiple datasets coming from different distributions but having the same dependent and independent variables. I am running a logistic regression on each of the datasets and I would like to ...
- 63
0
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1
answer
23
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Should we use the same fitting method in model selection and prediction?
I am curious whether we have to use the same fitting method in model selection and prediction.
For example, suppose that we are going to use the logistic regression in prediction.
Then, we may select ...
- 935
0
votes
1
answer
1k
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What are the preliminary analysis before running a logistic regression?
I have a dichotomous variable which represents if a student is accepted or not in a University. In order to do this I have about 60 variables (information of the students: gender, age, etc; their ...
- 31
0
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0
answers
26
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Determining whether logistic regression with robust variance for repeated measures is appropriate for my data, or which other model type to use
I am doing an analysis to identify independent predictors of a positive drug test result for patients who self-report being on medication in a cohort study (i.e., I am assessing recent medication ...
- 341
3
votes
1
answer
1k
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Question regarding selection variables for a multiple logistic regression analysis, through univariate analysis
I use univariate analysis to select variables for a multiple logistic regression. However, one of the categorical independent variables has a non significant dummy (one of the three). Should I include ...
- 31
1
vote
0
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845
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How to Assess Linearity assumption of logit in logistic regression
In Applied Lineare Regression, (Hosmer, Lemeshow, Sturdivant 3rd ed.) Ch. 4, they present "Purposeful Selection." Part of step 5 is to assess the validity of the linearity assumption of the logit vs ...
- 1,138
4
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2
answers
2k
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AIC for logistic regression
On page 231 of The Elements of Statistical Learning AIC is defined as follows in (7.30)
Given a set of models $f_\alpha(x)$ indexed by a tuning parameter
$\alpha$, denote by $\overline{err}(\...
- 556
1
vote
1
answer
180
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knowing which predictors are significant in a logistic regression model
I am trying to make a logistic regression model based on 5 predictors: 2 of these are categorical and 3 are numerical. The output is simply 1 or 0, and upon performing the Matlab function glmfit(x,y,'...
- 9,217
6
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3
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1k
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Should I cross-validate a logistic regression model that will not be used to make predictions?
Apologies if this question doesn't make much sense and if it is overly long. I had some basic stats training at university, but there are lots of gaps in my knowledge which I've gradually been trying ...
- 81
1
vote
0
answers
22
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how to choose the best logit model [duplicate]
I have two logit regression models with different AIC. I'm using R. my first model has significant variables and AIC 192.7436. And my second model has 1 non-significant variables but with smaller AIC ...
- 11
1
vote
1
answer
64
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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
0
votes
0
answers
61
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Determining which variables to use in regression model
So I'm trying to fit some binary outcome data to a logistic regression model. Besides the binary outcome I have several different metrics (numeric, integers, as well as factors) associated with each ...
- 1,047