[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: iweights and ROC curves
From
Steven Samuels <[email protected]>
To
[email protected]
Subject
Re: st: iweights and ROC curves
Date
Thu, 11 Dec 2008 20:04:10 -0500
I should have made clear: to get the ROC Curve, use ordinary -
logistic-, not -svy: logistic-. Mimic the -subpop- option with an -
if- statement.
On Dec 11, 2008, at 7:30 PM, Steven Samuels wrote:
Do not use iweights.-lroc- after -logistic- with frequency weights
works fine..
Austin Nichols once pointed out that you can compute fweights that
give the same results as pweights to any number of decimal places:
For k decimal places, use
new frequency weight = round(10^k * probability weight,1)
So for 2 decimal places:
233.43 -> 23,343 a whole number.
-Steve
On Dec 11, 2008, at 1:30 PM, Patrick McCabe wrote:
Does any one know if the ROC curves produced by a logistic
regression model using svy subpopulation and importance weights
are 'legit'? The resulting model is the same as the model
produced with pweights but if you use pweights lroc does not work.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
© Copyright 1996–2024 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |