lpl-package: Local Partial Likelihood Boostrap test

Description

This package fits a multivariable local partial likelihood model for covariate-biomarker interaction with survival data.

Arguments

Author

Siwei Zhang and Bingshu E. Chen

Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

Details

"lpl" is a R package for multivariate covariate-biomarker interaction uisng local partial likelihood method.

Please use the following steps to install 'lpl' package:

1. First, you need to install the 'devtools' package. You can skip this step if you have 'devtools' installed in your R. Invoke R and then type

install.packages("devtools")

2. Load the devtools package.

library(devtools)

3. Install "lpl" package with R commond

install_github("statapps/lpl")

"lpl" uses local partial likelihood to etimate covariate-biomarker interactions and bootstrap method to test the significance of the interactions.

References

1. Fan, J., Lin, H,, Zhou, Y. (2006). Local partial-likelihood estimation for lifetime data. The Annals of Statistics. 34, 290-325.

2. Liu, Y., Jiang, W. and Chen, B. E. (2015). Testing for treatment-biomarker interaction based on local partial-likelihood. Statistics in Medicine. 34, 3516-3530.

3. Zhang, S., Jiang, W. and Chen, B. E. (2016). Estimate and test of multivariate covariates and biomarker interactions for survival data based on local partial likelihood. Manuscript in preparation.

Examples

Run this code

# fit = lpl(y~trt+age+biomarker)