Displaying 5 results from an estimated 5 matches for "event_v".
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2008 Nov 29
0
Error in check(itp) : object does not represent a K sample problem with censored data
...d than the
days between court hearing and end of data collection was recorded.
2) recidivism$intDaysUntilFNVPO are the number of days before a
nonviolent offence was committed - if no offence was committed than
the days between court hearing and end of data collection was recorded.
3) recidivism$Event_v coded TRUE or FALSE as to whether a violent
offence was committed
4) recidivism$Event_nv coded TRUE or FALSE as to whether a
non-violent offence was committed
5) recidivism$group - there were 3 groups recorded as 1, 2 or 3
I encountered two problems:
a) when I tried to run the following: &...
2009 Mar 14
1
obtaining the values for the hazard function in a cox regression
...to obtain such values, to
better understand what is occurring in the log plots.
Below is the code that I have been using. Any assistance is appreciated,
regards
Bob
library(survival)
recidivismv <- read.csv("g://Chapsurv_v.csv",header=T)
cox.V <- coxph(Surv(intDaysUntilFVPO, Event_v) ~ intAgeAtMHCIndex +
PRE + group + MHC + strGender, data = recidivismv)
summary (cox.V)
# produces a log-log plot
mvfit <- survfit (Surv(recidivismv$intDaysUntilFVPO,
recidivismv$Event_v) ~ MHC, data = recidivismv)
neg.ll <- function(mvfit) -log(-log(mvfit))
library (Design)
survplot(mv...
2009 Mar 16
0
hazard function in a Cox model
...rd function values. I am wanting to confirm
whether basehaz is the correct command to obtain such values, to
better understand what is occurring in the log plots.
--- end inclusion ----
The best tool for understanding what is happening is cox.zph.
cox.V <- coxph(Surv(intDaysUntilFVPO, Event_v) ~ intAgeAtMHCIndex +
PRE + group + MHC + strGender, data = recidivismv)
zpfit <- cox.zph(cox.V, transform='identity')
plot( zpfitp[1]) #plot for the first variable
plot( zpfitp[2]) #plot for the second
You will get a plot of beta(t) versus time, a horizo...
2009 Mar 28
1
stratified variables in a cox regression
...ach used in R examples I have seen.
Below is my current code - is there a method to test whether the
stratified variables should be included in the final model at all?
library(survival)
recidivismv <- read.csv("g://Chapsurv_v.csv",header=T)
cox.V2 <- coxph(Surv(intDaysUntilFVPO, Event_v) ~ intAgeAtMHCIndex +
PRE + group + strata (MHC, strGender), data = recidivismv)
regards
Bob