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From | Nick Cox <njcoxstata@gmail.com> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: Spline after Cox regression |
Date | Sun, 7 Jul 2013 07:19:04 +0100 |
So, -adjust- is evidently objecting to being asked to do something 1064 times. Nick njcoxstata@gmail.com Etan Lakam > Thanks Nick for your reply > Yes lnffa is the variable I intended to use, it has 1064 distinct values. Nick Cox >>> How many distinct values does -lnffa- have? Was that the variable you >>> meant to use? Etan Lakam >>> > I am doing Cox-regression with a continuous exposure ffa and the >>> > outcome hf, I have been trying to model it as cubic spline. >>> > Here is how I approached it, adjusting for age, sex, and race, however >>> > it is coming up with the message error below, and I cannot obtain the >>> > graph >>> > I do not have a clue about what is happening. >>> > mkspline rlnffa= lffa, cubic nknots(5) >>> > stcox rlnratio* sex race age >>> > adjust race=0 sex=1 age, by(lnffa) ci replace exp >>> > >>> > ------------------------------------------------------------------------------------------ >>> > Dependent variable: _t Command: stcox >>> > Variables left as is: rlnffa1, rlnffa2 >>> > Covariate set to mean: age = 53.900191 >>> > Covariates set to value: race = 0, sex = 1 >>> > >>> > ------------------------------------------------------------------------------------------ >>> > too many values >>> > r(134); * * 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/