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> From: Ariel Linden [mailto:ariel.linden@gmail.com] 
> Sent: Friday, May 01, 2009 9:36 AM
> To: 'owner-statalist@hsphsun2.harvard.edu'
> Subject: an ROC equivalent for continuous variables?


Hi fellow list-servers,

 The ROC curve is a wonderful tool for assessing predictive accuracy when
the outcome is dichotomous, but I would love to get opinions on methods to
assess accuracy in models using continuous outcome variables (outside of
the r-squared statistic of course). I am thinking along the lines of mean
absolute percentage error (as is common in time series analysis), or
possibly bootstrapping the difference, but I would love to hear from
others what they think.

Thanks in advance.

Ariel
   


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