XL = min(TL, C) where TL is the time of the long term event, C is the censoring time.
tau
the residual survival time for which probabilities are calculated. Specifically, this function estimates the probability that the an individual has the event of interest before t0 + tau given the event has not yet occurred and the individual is still at risk at time t0.
Di.short
DS =1*(TS<C), where TS is the time of the short term event, C is the censoring time.
Xi.short
log(XS) = log(min(TS, C)) where TS is the time of the short term event, C is the censoring time.
Zi
covariate vector.
t0
landmark time.
covariate.value
specific covariate at which to estimate the conditional probability.
Value
returns estimated probability for values corresponding to the kernel matrix at the specified covariate value;