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From |
"Kieran McCaul" <kamccaul@meddent.uwa.edu.au> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: bootstrapping problem: difference between two numbers |

Date |
Wed, 23 Jul 2008 15:52:27 +0800 |

I can't comment on the rest of your program, but in your line: count if 1/(1+exp(-(_b[`_cons']+_b[`x1']*`x1')))>.75 you should have _b[_cons] not _b[`_cons'] ______________________________________________ Kieran McCaul MPH PhD WA Centre for Health & Ageing (M573) University of Western Australia Level 6, Ainslie House 48 Murray St Perth 6000 Phone: (08) 9224-2140 Phone: -61-8-9224-2140 email: kamccaul@meddent.uwa.edu.au http://myprofile.cos.com/mccaul _______________________________________________ -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of G. ter Riet Sent: Wednesday, 23 July 2008 2:25 PM To: statalist@hsphsun2.harvard.edu Subject: st: bootstrapping problem: difference between two numbers Dear Stata listers, I am trying to work out how much it matters if people use different definitions of asthma in prediction models. To get rid of any effects of different choices of study populations and study designs, we perform a number of logistic regression models that use different definitions of the dependent variable (asthma) and a fixed set of predictors in a single database (= 1 population and 1 study design) that we have access to. I think I successfully bootstrapped the areas under the ROC curve of two models like this (using the auto.dta data set for illustration): clear sysuse auto *GENERATE THREE BINARY DEPENDENT VARS TO MIMICK OUR THREE ASTHMA DEFINITIONS g price_d1=(price>5000) *g price_d2=(price>6342) g price_d3=(price>10000) *PROGRAM TWO LOGISTIC REGRESSIONS CONTAINING THE SAME XVARS BUT TWO DIFFERENT DEPVARS capture program drop gs_arcade_auc program define gs_arcade_auc, rclass version 10 args y1 x1 y2 x2 confirm var `y1' confirm var `x1' confirm var `y2' confirm var `x2' tempname auc1 auc2 logit `y1' `x1' lroc, nograph scalar `auc1' = r(area) logit `y2' `x2' lroc, nograph scalar `auc2' = r(area) return scalar dif1=`auc1'-`auc2' end #delimit ; bootstrap dif1=r(dif1),saving(c:\temp\gs_arcade_auc, replace) seed(2345) reps(1000) nowarn nodots: gs_arcade_auc price_d1 weight price_d3 weight ; estat bootstrap, all However, when I try to bootstrap a quantity that I think clinicians are more interested in than the area under the ROC curve, namely, the difference in the number of patients above some fixed (treatment) threshold, the program won't run. I can't figure out why not. What would be a good way to program this? I used <count> since <predict> seems to save nothing in r(). Any help is greatly appreciated. Here is the code that won't run: capture program drop gs_arcade_thresh program define gs_arcade_thresh, rclass version 10 args y1 x1 y2 x2 confirm var `y1' confirm var `x1' confirm var `y2' confirm var `x2' tempname treat1 treat2 logit `y1' `x1' *COUNT THE NUMBER OF PATIENTS WHOSE PREDICTED PROBABILITY IS GREATER THAN .75 count if 1/(1+exp(-(_b[`_cons']+_b[`x1']*`x1')))>.75 scalar `treat1' = r(N) logit `y2' `x2' count if 1/(1+exp(-(_b[`_cons']+_b[`x2']*`x2')))>.75 scalar `treat2' = r(N) return scalar dif1=`treat1'-`treat2' end #delimit ; bootstrap dif1=r(dif1),saving(c:\temp\gs_arcade_thresh, replace) seed(2345) reps(100): gs_arcade_thresh price_d1 weight price_d3 weight ; Many thanks, Gerben ter Riet, Ac Medical Center, Amsterdam, The Netherlands * * 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/

**References**:**st: bootstrapping problem: difference between two numbers***From:*"G. ter Riet" <G.terRiet@amc.uva.nl>

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