Displaying 2 results from an estimated 2 matches for "score_data".
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coredata
2011 Dec 19
1
Calculating the probability of an event at time "t" from a Cox model fit
...vent)~ x1 + x2 , method="breslow")
library(peperr)
predictProb.coxph(fit_coxph, Surv(dataphr$time, dataphr$event), dataphr,
0.003)
# Using predictProb.coxph function, probability of event at time (t) is
estimated for cox fit models, I want to estimate this probability on scoring
dataset score_data as below with covariate x1 and x2.
Is it possible/ is there any way to get these probabilities? since in
predictProb.coxph function it requires response, which is not preseent on
scoring sample.
n = 10000
set.seed(1)
x1 = rnorm(n,0)
x2 = rnorm(n,0)
score_data <- data.frame(x1,x2)
Thanks in...
2012 Jan 17
1
Scoring using cox model: probability of survival before time t
...probabilities on scoring_data. Now, close the
earlier session and run the below script in the new #R session, it gives
error.
library(survival)
library(peperr)
load(file = file.path("C:/Desktop","fit_coxph.RData"))
n = 1000
set.seed(1)
x1 = rnorm(n,0)
x2 = rnorm(n,0)
score_data <- data.frame(x1,x2)
pred_score <- predictProb.coxph(fit_coxph, Surv(time, event), score_data,
0.04)
#Error in Surv(time, event) : Time variable is not numeric
#After creating dummy place holder for Surv(time, event), it gives another
error:
time <- rep(2, n)
event <- rep(1, n)
pre...