cste_surv_SCB: Calculate simultaneous confidence bands (SCB) of CSTE curve...

In CSTE: Covariate Specific Treatment Effect (CSTE) Curve

Description

This function calculates simultaneous confidence bands of CSTE curve for time to event outcome with right censoring.

Usage

cste_surv_SCB(l, x, y, z, s, h, m, alpha = 0.05)

Arguments

l	contraction vector with dimension K.
x	samples of biomarker (or covariate) which is a n*1 vector and should be scaled between 0 and 1.
y	samples of time to event which is a n*1 vector.
z	samples of treatment indicator which is a n*K matrix.
s	samples of censoring indicator which is a n*1 vector.
h	kernel bandwidth.
m	number of turns of resampling.
alpha	the (1-α)-confidence level of SCB.

Value

A n*3 matrix, estimation of l^T β(x) and its simultaneous confidence bands.

References

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.

See Also

cste_surv

CSTE documentation built on Dec. 16, 2021, 9:07 a.m.