Hi,
I need some help with the following problem:
I have a group of patients and I would like to classify them either in responders/non-responders to a certain treatment.
For each person in the group a certain variable X was evaluated. By the use of ROC curves I have calculates the sensitivity and specificity of the method, the AUC value and corresponding p-value (which was statistically significant).
Now I would like to cross validate my model. I think this is a logistic regression model which I could analyze based on a v-fold cross validation, is this correct?
My sample is very small, could you give me some indication about what procedure to use to cross validate my model?
Thank you very much. Any suggestion/comment is more than welcome!
I need some help with the following problem:
I have a group of patients and I would like to classify them either in responders/non-responders to a certain treatment.
For each person in the group a certain variable X was evaluated. By the use of ROC curves I have calculates the sensitivity and specificity of the method, the AUC value and corresponding p-value (which was statistically significant).
Now I would like to cross validate my model. I think this is a logistic regression model which I could analyze based on a v-fold cross validation, is this correct?
My sample is very small, could you give me some indication about what procedure to use to cross validate my model?
Thank you very much. Any suggestion/comment is more than welcome!