predict  R Documentation 
predicted events
## S3 method for class 'ten' predict(object, ..., eMP = TRUE, reCalc = FALSE)
object 
An object of class 
... 
Additional arguments (not implemented). 
eMP 
Add column(s) indicating events minus predicted. 
reCalc 
Recalcuate the values?

With K covariate groups, We use ncg[i, k], the number at risk for group k, to calculate the number of expected events:
P[i, k] = e[i] * ncg[i, k] / n[i]
An attribute
, pred
is added
to object
:
t 
Times with at least one observation 
P_ 
predicted number of events 
And if eMP==TRUE
(the default):
eMP_ 
events minus predicted 
The names of the object
's covariate groups are
used to make the suffixes of the column names (i.e. after the
_
character).
There is a predicted value for each unique time, for each covariate group.
?survival::predict.coxph methods("predict")
## K&M. Example 7.2, Table 7.2, pp 209210. data("kidney", package="KMsurv") k1 < ten(Surv(time=time, event=delta) ~ type, data=kidney) predict(k1) predict(asWide(k1)) stopifnot(predict(asWide(k1))[, sum(eMP_1 + eMP_2)] <= .Machine$double.neg.eps) ## Three covariate groups ## K&M. Example 7.4, pp 212214. data("bmt", package="KMsurv") b1 < ten(Surv(time=t2, event=d3) ~ group, data=bmt) predict(b1) ## one group only predict(ten(Surv(time=t2, event=d3) ~ 1, data=bmt))
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