Displaying 5 results from an estimated 5 matches for "recidivism".
2008 Dec 28
1
cox regression warning/error messages
...d rather than the R generated dummy variables. Is it
the case that plots should be run for each dummy variable, or is it
correct simply to run the analysis on the original variable?
The code employed to generate the analysis follows:
Any assistance is appreciated,
Bob
cox.NV <- coxph(Surv(recidivism$intDaysUntilFNVPO,
recidivism$Event_nv) ~ recidivism$strGender +
recidivism$intAgeAtMHCIndex + recidivism$PRE.nv + group +
recidivism$MHC.nv + recidivism$SNFP , data = recidivism)
> summary(cox.NV)
Call:
coxph(formula = Surv(recidivism$intDaysUntilFNVPO, recidivism$Event_nv) ~
recidivi...
2008 Nov 29
0
Error in check(itp) : object does not represent a K sample problem with censored data
Hello,
I have two questions regarding a survival analysis I have been
working on. Below is the code to date.
The variables:
1) recidivism$intDaysUntilFVPO are the number of days before an
violent offence was committed - if no offence was committed than the
days between court hearing and end of data collection was recorded.
2) recidivism$intDaysUntilFNVPO are the number of days before a
nonviolent offence was committed - if no off...
2012 Nov 29
5
bootstrapped cox regression (rms package)
Hi,
I am trying to convert a colleague from using SPSS to R, but am having
trouble generating a result that is similar enough to a bootstrapped cox
regression analysis that was run in SPSS. I tried unsuccessfully with
bootcens, but have had some success with the bootcov function in the rms
package, which at least generates confidence intervals similar to what is
observed in SPSS. However, the
2012 Nov 29
0
bootstrapped cox regression in rms package (non html!)
Hi,
I am trying to convert a colleague from using SPSS to R, but am having
trouble generating a result that is similar enough to a bootstrapped
cox regression analysis that was run in SPSS. I tried unsuccessfully
with bootcens, but have had some success with the bootcov function in
the rms package, which at least generates confidence intervals similar
to what is observed in SPSS. However, the