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From |
"FEIVESON, ALAN H. (AL) (JSC-SK) (NASA)" <alan.h.feiveson@nasa.gov> |

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

Subject |
st: : [sampling in Cox model] (more) |

Date |
Thu, 19 Jun 2003 09:06:13 -0500 |

To rephrase what I am asking, I think one ought to be able to do some sort of stratified sampling. The strata would be based on the independent variables. For example, if one stratum has "risky" values of the independent variables, one would expect a lot of failures, ..etc. Bryan - are you there? Can this be done in the context of fitting Cox models? Al -----Original Message----- From: FEIVESON, ALAN H. (AL) (JSC-SK) (NASA) Sent: Thursday, June 19, 2003 8:35 AM To: 'statalist@hsphsun2.harvard.edu' Subject: st: [sampling in Cox model] This raises an interesting question. Clearly, one could take an "upstream" that is, a purely blinded sample and run it. But is there a more efficient way? For example, if you just used the failures, you would bias your estimates of the coefficients, but in some sense you would gain precision. So I'm wondering if there is a way of informative sampling (that is purposely choosing a preponderance of failures) and somehow correcting for bias? If you did this, would the estimates be any more accurate than if you had just taken a noninformative sample to begin with? Al Feiveson -----Original Message----- From: Nick Cox [mailto:n.j.cox@durham.ac.uk] Sent: Wednesday, June 18, 2003 6:00 PM To: statalist@hsphsun2.harvard.edu Subject: st: RE: [Cox model] roger webb > I need to run a Cox model on a very large cohort (of approximately > 1.5 million subjects). Has anyone implemented a memory efficient > routine that uses a sample from (as opposed to all) the individuals > at risk? Nothing to do with me, but I doubt that there is amy special procedure needed here. That is, you just should take a sample upstream and then fit a Cox model on the sample data, I guess. Nick n.j.cox@durham.ac.uk * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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