Displaying 6 results from an estimated 6 matches for "nonmaintain".
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nonmaintained
2006 Jul 11
2
new object
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2009 Feb 17
3
Survival-Analysis: How to get numerical values from survfit (and not just a plot)?
Hi!
I came across R just a few days ago since I was looking for a toolbox
for cox-regression.
I?ve read
"Cox Proportional-Hazards Regression for Survival Data
Appendix to An R and S-PLUS Companion to Applied Regression" from John Fox.
As described therein plotting survival-functions works well
(plot(survfit(model))). But I?d like to do some manipulation with the
survival-functions
2008 Mar 13
1
survival curve for only certain values of a factor
Hello:
Using the built-in dataset aml as an example:
data(aml)
If I use instead dummy variables:
aml$x1 = (aml$x=="maintained")aml$x2 = (aml$x=="unmaintained")
and I want to plot the survival curve using x1, x2, and I just want the 2 levels, rather than 4 curves from:
fit <- survfit(Surv(time, status) ~ x1+x2, data=aml)
plot(fit)
I guess because there are 2 levels
2007 Oct 15
2
some question about partial prediction in survival
Hi there:
i got a problem to get the prediction from a model recently. for
example if i use a survival analysis to predict the risk. i use the code
like below: i found the the prediction is not equal to (coef * x + coef
* sex) , could someone help me with why this happened? and can someone
explain to me how this command "predict(f, type="terms")" works? is
every partial
2011 Apr 18
1
time dependent hazard ratios
...e intervals 0-5, 5-10,
10-20 and >=20, would the following calculate such HRs?
> coxph(Surv(start,time,status)~x*as.factor(i),data=aml3)
Call:
coxph(formula = Surv(start, time, status) ~ x * as.factor(i),
data = aml3)
coef exp(coef) se(coef) z p
xNonmaintained 19.2 2.10e+08 10461 0.00183 1
as.factor(i)1 NA NA 0 NA NA
as.factor(i)2 NA NA 0 NA NA
as.factor(i)3 NA NA 0 NA NA
xNonmaintained:as.factor(i)1 -18.3 1.17e-08...
2006 Jun 10
1
Calculating survival for set time intervals
Hello friends and fellow R users,
I have successfully tabulated and entered my survival data into R and
have generated survival curves. But I would like to be able to determine
what the survival rates are now at one month, three months, six months
and one year.
I have a data set, via.wall, which I have entered into R, and which
generates the following Surv object:
Surv(Days,Status==1)
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