cste_surv: Estimate the CSTE curve for time to event outcome with right...
In CSTE: Covariate Specific Treatment Effect (CSTE) Curve
Description
Usage
Arguments
Value
References
See Also
Description
Estimate the CSTE curve for time to event outcome with right censoring.
The working model
is
λ(t| X, Z) = λ_0(t) \exp(β^T(X)Z + g(X)),
which implies that CSTE(x) = β(x).
Usage
1
cste_surv(x, y, z, s, h)
Arguments
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.
Value
A n*K matrix, estimation of β(x).
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 documentation built on Dec. 16, 2021, 9:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value References See Also
Description
Estimate the CSTE curve for time to event outcome with right censoring. The working model is
λ(t| X, Z) = λ_0(t) \exp(β^T(X)Z + g(X)),
which implies that CSTE(x) = β(x).
Usage
1 | cste_surv(x, y, z, s, h)
|
Arguments
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. |
Value
A n*K matrix, estimation of β(x).
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.