This function calculates simultaneous confidence bands of CSTE curve for time to event outcome with right censoring.
cste_surv_SCB(l, x, y, z, s, h, m, alpha = 0.05)contraction vector with dimension \(K\).
samples of biomarker (or covariate) which is a \(n*1\) vector and should be scaled between 0 and 1.
samples of time to event which is a \(n*1\) vector.
samples of treatment indicator which is a \(n*K\) matrix.
samples of censoring indicator which is a \(n*1\) vector.
kernel bandwidth.
number of turns of resampling.
the \((1-\alpha)\)-confidence level of SCB.
A \(n*3\) matrix, estimation of \(l^T \beta(x)\) and its simultaneous confidence bands.
Ma Y. and Zhou X. (2017). Treatment selection in a randomized clinical trial via covariate-specific treatment effect curves, Statistical Methods in Medical Research, 26(1), 124-141.