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RE: st: RE: RE: RE: RE: Table of cut-offs for ROC following logit
From
"Ploutz-Snyder, Robert (JSC-SK)[USRA]" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: RE: RE: RE: RE: Table of cut-offs for ROC following logit
Date
Tue, 30 Mar 2010 12:25:34 -0500
Indeed.. typo.. my bad.
Thanks for clarifying.
rob
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Martin Weiss
Sent: Tuesday, March 30, 2010 12:21 PM
To: [email protected]
Subject: RE: st: RE: RE: RE: RE: Table of cut-offs for ROC following logit
<>
You are probably referring to -roctab-, and -rocfit- in your code was just a typo...
HTH
Martin
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Ploutz-Snyder, Robert (JSC-SK)[USRA]
Sent: Dienstag, 30. März 2010 19:16
To: [email protected]
Subject: Re: st: RE: RE: RE: RE: Table of cut-offs for ROC following logit
Yup. Without it, no table. With it gives sens and spec and LR+ and
LR- per cut-points.
On Mar 30, 2010, at 12:08 PM, "Martin Weiss" <[email protected]>
wrote:
>
> <>
>
> Glad it worked out for you! Does -rocfit- really have a -detail-
> option?
>
>
> HTH
> Martin
>
>
> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Ploutz-Snyder, Robert
> (JSC-SK)[USRA]
> Sent: Dienstag, 30. März 2010 18:59
> To: [email protected]
> Subject: st: RE: RE: RE: Table of cut-offs for ROC following logit
>
> Thanks for the lead on Roger's senspec Martin. That led me to
> roctab, which in combination with the predict post-estimation
> command to logit, works:
>
> logit y var1 var2 var3 ... vark *to get the logit model
>
> predict hat, pr *to get predicted
> probabilities of the outcome
>
> rocfit y hat, detail *generates the table of
> sens, spec, varying the cut-point
>
>
>
>
> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Ploutz-Snyder, Robert
> (JSC-SK)[USRA]
> Sent: Tuesday, March 30, 2010 11:44 AM
> To: [email protected]
> Subject: st: RE: RE: Table of cut-offs for ROC following logit
>
> Doesn't that require a single predictor, plus dichotomous outcome?
> I'm running a multiple logistic to predict the dichotomous outcome...
>
>
>
> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Martin Weiss
> Sent: Tuesday, March 30, 2010 11:38 AM
> To: [email protected]
> Subject: st: RE: Table of cut-offs for ROC following logit
>
>
> <>
>
> " What am I missing??"
>
>
>
> Roger`s
>
> *******
> ssc d senspec
> *******
> ?
>
> HTH
> Martin
>
> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Ploutz-Snyder, Robert
> (JSC-SK)[USRA]
> Sent: Dienstag, 30. März 2010 18:29
> To: [email protected]
> Subject: st: Table of cut-offs for ROC following logit
>
> I wish to obtain a table of cut-offs and associated sensitivity,
> specificity (and ppv, npv, fp, fn if possible) following a logit
> analysis. I can use lsens to graph the relationship between
> sensitivity and specificity, given probability cutoffs shown on the
> x axis, but what I really want is the data that was used to create
> that lsens graph.
>
> Seems this should be an option to lsens or perhaps estat class, but
> I can't locate it.
>
> What am I missing??
>
> Thanks much,
> Rob
>
> Robert J. Ploutz-Snyder, PhD
> Senior Research Scientist III (Biostatistician), University Space
> Research
> Research Associate Professor, Department of Medicine, SUNY Upstate
> Medical University
> Human Adaptation & Countermeasures Division
> National Aeronautics and Space Administration
> Lyndon B. Johnson Space Center /SK
> 2101 NASA Parkway
> Houston, TX 77058
> 281-483-6296 (office)
> 281-483-2888 (fax)
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