Hi!
I am trying to externally validate some predictive models. The outcome is a binary one and models are single-factor dichotomized as well.
For calibration I am doing c-statistic but wanted to do calibration in the large, slope and intercept as well
Does it make sense to do slope and intercept if we have a binary outcome and a binary predictor?
Can this be done with pmcalplot? I just dont know what the code would be for this
I understand that I can do logit outcome predictor and from here obtain c-statistic
But I do not know how to obtain calibration in the large, slope and intercept
Thanks!
I am trying to externally validate some predictive models. The outcome is a binary one and models are single-factor dichotomized as well.
For calibration I am doing c-statistic but wanted to do calibration in the large, slope and intercept as well
Does it make sense to do slope and intercept if we have a binary outcome and a binary predictor?
Can this be done with pmcalplot? I just dont know what the code would be for this
I understand that I can do logit outcome predictor and from here obtain c-statistic
But I do not know how to obtain calibration in the large, slope and intercept
Thanks!
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