# Tagged Questions

28 views

### Fit statistics and log-likelihood after multiple imputation estimation

I am working with four survey datasets, two of them without a certain variable which I impute using multiple imputation techniques. Afterwards, I use the complete data to estimate a set of logit ...
138 views

### Evaluating a logistic regression

Recently I’ve been working on a logistic model and I´m having some difficulties evaluating the results. I am still learning all this, so I apologise in advance for the mistakes. I would still ...
51 views

### Calculate goodness-of-fit (with deviance) to compare averaged models?

I need to compare the goodness of fit of several averaged logistic regression models by calculating the deviance explained. I'm using the MuMIn package in R to ...
548 views

### Measure of goodness-of-fit in Ordinal Logistic Regression with continuous independent variable

In case of the ordinal logistic regression, both of the goodness-of-fit statistics, Pearson and Deviance goodness-of-fit measures, should be used only for models that have reasonably large expected ...
449 views

### Validation of logistic regression - goodness of fit (pearson)

I have developed a scoring system using logistic regression. The score ranges between 0 and 6 (using integers) and predicts death. It does not use a conventional regression formula and thus I am not ...
2k views

### How can I compute Pearson's $\chi^2$ test statistic for lack of fit on a logistic regression model in R?

The likelihood ratio (a.k.a. deviance) $G^2$ statistic and lack-of-fit (or goodness-of-fit) test is fairly straightforward to obtain for a logistic regression model (fit using the ...
173 views

### “Brute force” expected deviance for logistic regression?

A commonly used goodness of fit statistic for logistic regression is the deviance. This is also known as the likelihood ratio chi-square statistic. It is defined as: $$D=\sum_{i=1}^{N}d_i^2$$ ...
1k views

### Assessing logistic regression models

This question arises from my actual confusion about how to decide if a logistic model is good enough. I have models that use the state of pairs individual-project two years after they are formed as a ...