I am trying to develop a prognostic model using logistic regression. I
built a full , approximate models with the use of penalization - design
package. Also, I tried Chi-square criteria, step-down techniques. Used
BS for model validation.
The main purpose is to develop a predictive model for future patient
population. One of the strong predictor pertains to the study design
and would not mean much for a clinician/investigator in real clinical
situation and have been asked to remove it.
Can I propose a model and nomogram without that strong -irrelevant
predictor?? If yes, do I need to redo model calibration, discrimination,
validation, etc...?? or just have 5 predictors instead of 6 in the
prognostic model??
Thanks for your help
Al
.
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