Hello
I really do hope some one can help Clyde Schechter - saw your post here, and I think you can help...
Just read this post here: How to get an overall p-value for an independent categorical variable using binary logistic regression ? - Statalist
I've got a similar problem
I'm performing a COX-Regression model
I have one categorical variable: ASA (this is a grade of co-morbid status of patients) with 4 orders:
ASA1 , ASA2, ASA3, ASA4
All p values from ASA 1- ASA3 are p <0.001
ASA4 has a p value of 0.551
I would like to perform a Cox regression without ASA4 to see how my model fits (I doubt this will change anything as the p value isn't high, and to be honest there aren't many patients with ASA4. However I don't know if
A. Does it make sense
OR
B. Do I need to remove ASA as an entire variable
Most books:
APplied Survival Analysis
Survival Analysis
UCLA
All demonstrate examples with a categorical variable with 2 orderseg ASA has ASA1 or ASA2).
So therefore there is only one p value and hence the new model can easily be examined if ASA is removed (as it has 2 orders)
I really do hope some one can help Clyde Schechter - saw your post here, and I think you can help...
Just read this post here: How to get an overall p-value for an independent categorical variable using binary logistic regression ? - Statalist
I've got a similar problem
I'm performing a COX-Regression model
I have one categorical variable: ASA (this is a grade of co-morbid status of patients) with 4 orders:
ASA1 , ASA2, ASA3, ASA4
All p values from ASA 1- ASA3 are p <0.001
ASA4 has a p value of 0.551
I would like to perform a Cox regression without ASA4 to see how my model fits (I doubt this will change anything as the p value isn't high, and to be honest there aren't many patients with ASA4. However I don't know if
A. Does it make sense
OR
B. Do I need to remove ASA as an entire variable
Most books:
APplied Survival Analysis
Survival Analysis
UCLA
All demonstrate examples with a categorical variable with 2 orderseg ASA has ASA1 or ASA2).
So therefore there is only one p value and hence the new model can easily be examined if ASA is removed (as it has 2 orders)
Code:
stcox i.var1 i.var2 i.ASA, nohr estimates store A stcox i.var1 i.var2, nohr
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