elaine kuo wrote:
Dear,
I wanna to compare AUC generated by two distribution models using the same
sample.
The AUC for model 1 consists of two columns, column A for 0/1 and column B
for probability, eahc with the same row number of 3000.
The AUC for model 2 consists of two columns, column A for 0/1 and column B
for probability, eahc with the same row number of 10000 rows.
I am wondering what value I should put in for gold and test in this
function.
Please kindly help and thank you.
Elaine
Hmisc's improveProb (Pencina's methods) exists because comparisons of
AUC have low power. If you want to compare AUCs a more direct approach
is with rcorrp.cens in Hmisc.
You are confusing data for AUC which is a single summary measure. I
don't think you are using the term AUC in the right context.
Please consolidate your multiple queries into one note next time.
Frank
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