Used for testing for qualitative interactions between treatment effects and patient subgroups. Here the term treatment effect means a comparison result of two treatments within each patient subgroup. Models included in this package are Gaussian, binomial and Cox models. Methods included here are interval based graphical approach and Gail Simon LRT.
|Author||Lixi Yu, Eun-Young Suh, Guohua (James) Pan|
|Date of publication||2014-10-13 09:58:21|
|Maintainer||Lixi Yu <email@example.com>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.