On 9/3/21 12:59 PM, Bond, Stephen wrote: > > I looked at the nocenter and it says (-1,0,1) values but it seems that any > three-level > factor is included in that (represented as 1,2,3 in R) . > A factor is turned into a set of 0/1 dummy variable, so the nocenter applies.� I will add more clarification to the documentation.
> Also, is the baseline curve now showing the reference level and not the > fictional .428 > sex? If I predict the risk for a new row, should I multiply the coefficient > shown in the > output by 1 for a sex=1? It used to be (1-.428)*coef. > Yes, the "mean" component is the reference level for predict and survfit.� If I could go back in time it would be labeled as "reference" instead of "mean".�� Another opportunity for me to make the documentation clearer. Good questions, � Terry T > Thanks for clarifying. > > SB > > *From:* Therneau, Terry M., Ph.D. <thern...@mayo.edu> > *Sent:* Friday, 3 September, 2021 12:37 > *To:* Bond, Stephen <stephen.b...@cibc.com> > *Cc:* R-help <r-help@R-project.org> > *Subject:* Re: coxph means not equal to means of model matrix > > [EXTERNAL] > > ------------------------------------------------------------------------------------------ > > See ?coxph, in particular the new "nocenter" option. > > Basically, the "mean" component is used to center later computations.� This > can be > critical for continuous variables, avoiding overflow in the exp function, but > is not > necessary for 0/1 covariates.�� The fact that the default survival curve > would be for a > sex of .453, say, was off-putting to many. > > Terry T. > > On 9/3/21 11:01 AM, Bond, Stephen wrote: > > Hi, > > Please, help me understand what is happening with the means of a Cox > model? > > I have: > > R version 4.0.2 (2020-06-22) -- "Taking Off Again" > > Copyright (C) 2020 The R Foundation for Statistical Computing > > Platform: x86_64-w64-mingw32/x64 (64-bit) > > getOption("contrasts") > > ������� unordered ordered > > "contr.treatment" "contr.poly" > > According to the help �coxph.object has a component holding the means of > the X > (model.matrix). This does not hold any more. > > ``` > > library(survival) > > test1 <- list(time=c(4,3,1,1,2,2,3), > > �������������������status=c(1,1,1,0,1,1,0), > > �������������������x=c(0,2,1,1,1,0,0), > > �������������������sex=factor(c(0,0,0,0,1,1,1))) > > m1 <- coxph(Surv(time, status) ~ x + sex, test1) > > m1$means > > ##������� x����� sex1 > > ## 0.7142857 0.0000000 > > colMeans(model.matrix(m1)) > > ##�������� x����� sex1 > > ## 0.7142857 0.4285714 > > ``` > > Will new observations be scored using the zero mean from the object?? Is > this just a > reporting change where $means shows the reference level and no longer the > mean of > the model matrix?? > > Thanks everybody > > ATTENTION : This email originated outside your organization. Exercise caution > before > clicking links, opening attachments, or responding with personal information. > > ------------------------------------------------------------------------------------------ [[alternative HTML version deleted]]
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