Description Usage Arguments Details References Examples
This function estimates the value of
F(T <= y_0 \mid x_0),
the conditional cumulative distribution function of a survival time T given covaraites vector x_0 at value y_0. This estimator is described in detail in \insertCitewang2009locallyQTOCen.
1 | tauhat_func(y0, x0, z, x, delta, bw)
|
y0 |
the vector of censored outcome of a single observation |
x0 |
the vector of given covariate of a single observation |
z |
observed vector of response variable from observed data |
x |
the observed matrix of covariates, the dimension is # of observations by number of covariates.
Note that the vector of ones should NOT be included in |
delta |
the vector of censoring indicators |
bw |
the scalar bandwidth parameter in kernel |
For cases with multivariate covariates, we adopted a product kernel. For example, in the bivariate case we use
K(x_1, x_2) = K_1(x_1) K_2(x_2),
where K_1 and K_2 are both biquadratickernel functions.
wang2009locallyQTOCen
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