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Michael R. Chernick
Michael R. Chernick
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I want to choose variables for building a logistic regression model by comparing the GOF of different types. The problem is, that some of the candidatecandidates have some missing values so I can´t use the likelihood ratio test for comparing models, given that when I want to compare models with those variables they are not nested anymore.

So after exploring some options, I found that AIC or even BIC might be an option for that purpose. Is either of those a valid option?

I am not familiar with the use of BIC, is it the same as AIC, where the smaller the value is, the better?

I want to choose variables for building a logistic regression model by comparing the GOF of different types. The problem is, some of the candidate have some missing values so I can´t use the likelihood ratio test for comparing models, given that when I want to compare models with those variables they are not nested anymore.

So after exploring some options, I found that AIC or even BIC might be an option for that purpose. Is either of those a valid option?

I am not familiar with the use of BIC, is it the same as AIC, where the smaller the value is, the better?

I want to choose variables for building a logistic regression model by comparing the GOF of different types. The problem is that some of the candidates have some missing values so I can´t use the likelihood ratio test for comparing models, given that when I want to compare models with those variables they are not nested anymore.

So after exploring some options, I found that AIC or even BIC might be an option for that purpose. Is either of those a valid option?

I am not familiar with the use of BIC, is it the same as AIC, where the smaller the value is, the better?

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edit approved Aug 13, 2012 at 0:12
jonsca
edit approved Aug 13, 2012 at 0:12
jonsca
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I want to choose variables for building a Logisticlogistic regression model by comparing the GOF of different types. The problem is that, some of the candidate have some missing values so I can´t use the likelihood ratio test for comparing models, given that when I want to compare models with those variables they are not nested anymore. 

So after exploring some optionoptions, I found that AIC or even BIC might be an option for that purpose. Is that Is either of those a valid option? Other question, because 

I am not familiar with the use of BIC, is it the same as AIC, where the smaller the value is, the better? Thanks in advance Gustavo

I want to choose variables for building a Logistic regression model by comparing the GOF of different. The problem is that some of the candidate have some missing values so I can´t use the likelihood ratio test for comparing models given that when I want to compare models with those variables they are not nested anymore. So after exploring some option I found that AIC or even BIC might be an option for that purpose. Is that a valid option? Other question, because I am not familiar with the use of BIC, is the same as AIC, smaller the value is better? Thanks in advance Gustavo

I want to choose variables for building a logistic regression model by comparing the GOF of different types. The problem is, some of the candidate have some missing values so I can´t use the likelihood ratio test for comparing models, given that when I want to compare models with those variables they are not nested anymore. 

So after exploring some options, I found that AIC or even BIC might be an option for that purpose. Is either of those a valid option? 

I am not familiar with the use of BIC, is it the same as AIC, where the smaller the value is, the better?

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Gustavo
Gustavo
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Options for comparing logistic regression models

I want to choose variables for building a Logistic regression model by comparing the GOF of different. The problem is that some of the candidate have some missing values so I can´t use the likelihood ratio test for comparing models given that when I want to compare models with those variables they are not nested anymore. So after exploring some option I found that AIC or even BIC might be an option for that purpose. Is that a valid option? Other question, because I am not familiar with the use of BIC, is the same as AIC, smaller the value is better? Thanks in advance Gustavo