Linked Questions

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986 views

Criteria for choosing the most appropriate logistic regression model [duplicate]

I've fitted 16 logistic regression models to my data and I'm not sure as to which model to choose as my final model. I looked at a couple of things to help me choose my final model. 1) significance of ...
1
vote
0answers
126 views

Model selection in binary logistic regression [duplicate]

I have 3 possible "final" models in binary logistic regression (N=176, Number of events = 36). Now I am trying to decide which one to select. It´s clear,"All models are wrong, but some are useful", ...
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0answers
100 views

Logistic Regression - Model Selection Method [duplicate]

What is the best way to know the best selection method for our logistic regression model ? Forward Selection Backward Elimination Step-wise Selection Full Model. I am running logistic regression in ...
31
votes
3answers
8k views

Why is variable selection necessary?

Common data-based variable selection procedures (for example, forward, backward, stepwise, all subsets) tend to yield models with undesirable properties, including: Coefficients biased away from zero....
1
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3answers
1k views

How to identify suitable variables to assess confounding, mediation and effect modification?

Imagine that you are planning a study about risk behaviours among HIV positive injecting drug users. All the individuals included in the sample are injecting drugs and all are HIV positive. The main “...
2
votes
2answers
662 views

What happens if the full model has the smallest AIC?

Suppose I am modelling a binary outcome $y$ with $n$ covariates. If this model has the lowest AIC among all the other ones...would this be the one to use? Also in dealing with categorical variables, ...
1
vote
2answers
952 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
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0answers
1k views

How to quantify the significance of the difference between two z-scores? [duplicate]

I have one sample and several features. I calculate a z-score for various features, and for various combinations of features. Is there a way to quantify the significance of the difference between ...
3
votes
1answer
662 views

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 ...
1
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2answers
201 views

Is it possible to run multiple logistic regression for small sample size?

I have collected data, there are 300 non-injury and only 17 injury. Four categorical variables are significant according to Chi-squire, then I used Multiple logistic regression for significant ...
0
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2answers
224 views

binary value in rcorr (spearman)

We study the acceptation of students to the university according to different criteria. The parameters x are quantitative values. The parametre y is binary value, it is the result, if the student is ...
1
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2answers
152 views

Metrics for selecting a logistic regression model

I have been running logistic regressions using forward, backward and 'both direction' stepwise procedures to guide the selection of the variables included in the model. I have been using AIC as a ...