Description Details Author(s) References
The package implements a multi-marker molecular signature (MMMS) approach for treatment-specific subgroup identification. Time-to-event outcomes are currently supported, based on the approach described in Li et al. (2014). Other types of outcomes (e.g. binary and continuous outcomes) may be supported in future versions.
Package: | MMMS |
Type: | Package |
Version: | 0.1 |
Date: | 2014-03-18 |
License: | GPL-3 |
The package contains one main function: MMMS()
, which estimates composite scores for a multi-marker molecular signature (MMMS), identifies a subgroup based on the scores, and assesses the significance of the treatment-specific subgroup effect on the outcome of interest. MMMS()
calls several functions that can also be called separately: get.score()
, get.score.main()
, get.subgroup()
, etc.
Author: Lin Li, Tobias Guennel,Scott Marshall, Leo Wang-Kit Cheung
Contributors: Brigid M. Wilson, Dilan C. Paranagama
Maintainer: Lin Li <lli@biostatsolutions.com>
Lin Li, Tobias Guennel, Scott Marshall, Leo Wang-Kit Cheung (2014) A multi-marker molecular signature approach for treatment-specific subgroup identification with survival outcomes. The Pharmacogenomics Journal. http://dx.doi.org/10.1038/tpj.2014.9
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