Estimates P(TL t0, Z, TS==ts) for a single t.

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Description

Helper function for Prob2.k.t; should not be called directly.

Usage

1
prob2.single(K, W2i, Xi.long, tau, Di.short, Xi.short, Zi, t0, covariate.value)

Arguments

K

Kernel matrix.

W2i

inverse probability of censoring weights.

Xi.long

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;

Author(s)

Layla Parast