Description Usage Arguments Details Value Author(s) References See Also Examples
Searching for a treatment-specific subgroup based on MMMS composite scores.
1 | get.subgroup(score.info, data, lb = 20, ub = 80)
|
score.info |
The object returned by |
data |
A list containing input data used for calculating composite scores. The list should have at the least the following elements: |
lb |
A scalar indicating the lower bound of the search range for desired subgroup sizes in percentage (e.g. 20 means 20%). |
ub |
A scalar indicating the lower bound of the search range for desired subgroup sizes in percentage (e.g. 80 means 80%). |
This function is a function called by MMMS()
to search for an optimal treatment-specific subgroup. A range of desired subgroup sizes can be specified. When no subgroup can be found within the range, values of NA
will be returned.
A list with the following elements:
pct |
All possible subgroup sizes within the desired range. |
cutoff |
All possible cutoffs for the composite scores (based on interaction terms) that give subgroup sizes within the desired range. |
i.best |
The index with respect to |
fit.best |
The fitted model based on the subgroup defined by the optimal cutoff. |
pct.best |
The subgroup size of the subgroup defined by the optimal cutoff. |
cutoff.best |
The optimal cutoff. |
chisq.best |
The chi-square statistic for the treatment-by-subgroup interaction for the subgroup defined by the optimal cutoff. |
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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