Tagged Questions
2
votes
0answers
305 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 ...
1
vote
1answer
354 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 ...
2
votes
3answers
1k 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 ...
2
votes
0answers
138 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:
$$D=\sum_{i=1}^{N}d_i^2$$
...
6
votes
2answers
777 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 ...
5
votes
2answers
1k views
Find out pseudo R square value for a Logistic Regression analysis
My name is Tuhin.
I came up with a couple of questions when I was doing an
analysis in R.
I did a logistic regression analysis in R and tried to check
how good the model fits the data.
But, I got ...
19
votes
7answers
18k views
Which pseudo-$R^2$ measure is the one to report for logistic regression (Cox & Snell or Nagelkerke)?
I have a SPSS Output for a logistic regression. This output reports two measure for the model fit, Cox & Snell and ...
