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From |
Robert Long <W.R.Long@leeds.ac.uk> |

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

Subject |
st: RE: RE: Plotting survival curves after multiple imputation |

Date |
Wed, 20 Feb 2013 11:06:33 +0000 |

Excuse me, there was a line missing in the code. Here is the correct listing: webuse drugtr, clear foreach i in 5 10 15 20 25 30 35 40 45 { replace age = . in `i' } mi set wide mi register impute age ice age studytime died drug, m(5) saving(drugtr_imp, replace) use drugtr_imp.dta, clear * no problem obtaining pooled estimates, and here I use the storebv option * in an attempt to give -stcurve- what it needs mim , storebv: stcox age drug mim, storebv: stcox age drug * but it doesn't work: stcurve, survival at1(drug=0) at2(drug=1) -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Robert Long Sent: 20 February 2013 09:47 To: 'statalist@hsphsun2.harvard.edu' Subject: st: RE: Plotting survival curves after multiple imputation I have attempted to solve this using the following code, which is reproducible, but relies on the -ice- and -mim- commands webuse drugtr, clear * create some missing value foreach i in 5 10 15 20 25 30 35 40 45 { replace age = . in `i' } mi set wide mi register impute age ice age studytime died drug, m(5) saving(drugtr_imp, replace) use drugtr_imp.dta, clear * no problem obtaining pooled estimates, and here I use the storebv option * in an attempt to give -stcurve- what it needs mim , storebv: stcox age drug * but it doesn't work: stcurve, survival at1(drug=0) at2(drug=1) The error is last estimates not found r(301); This error seems to be produced in -stcurve- which is looking for e(cmd2) to be set to "stcox", but e(cmd2) is not set at all - e(cmd) is set to "stcox". However, running stcox normally (ie without -mim- ) , e(cmd2) /is/ set to "stcox".. Can anyone help ? Thanks Robert Long -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Robert Long Sent: 15 February 2013 11:55 To: 'statalist@hsphsun2.harvard.edu' Subject: st: Plotting survival curves after multiple imputation Hello Statalist This sounds like something very simple, or at least it should be something that is commonly required, but so far I haven't found an answer. I want to use multiple imputation for missing covariate data. No problems with that. Having obtained m different datasets, I want to run cox regressions, obtaining pooled results. No problems with that. But I also want to plot a "pooled" survival curve for different levels of a covariate. How do I obtain such plots ? Thanks Robert Long * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/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/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: RE: RE: Plotting survival curves after multiple imputation***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: test of coefficients of the same regression equation***From:*Nahla Betelmal <nahlaib@gmail.com>

**Re: st: test of coefficients of the same regression equation***From:*Florian Wendelspiess Chávez Juárez <florian@chavezjuarez.com>

**Re: st: test of coefficients of the same regression equation***From:*Nahla Betelmal <nahlaib@gmail.com>

**Re: st: test of coefficients of the same regression equation***From:*Florian Wendelspiess Chávez Juárez <florian@chavezjuarez.com>

**Re: st: test of coefficients of the same regression equation***From:*Nahla Betelmal <nahlaib@gmail.com>

**st: Plotting survival curves after multiple imputation***From:*Robert Long <W.R.Long@leeds.ac.uk>

**st: RE: Plotting survival curves after multiple imputation***From:*Robert Long <W.R.Long@leeds.ac.uk>

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