All software listed below is developed by biostatistical scientists at the
University of Maryland Greenebaum Comprehensive Cancer Center's Biostatistics Division and
is distributed under Gnu General Public License.
Performs Lp (p < 1) regularized logistic regression for high dimensional
data including that from the microarray gene expression data where the number
of observation can be far less than the number of covariates. It consists of
a Readme file and a suite of MatLab functions.
Provides the entire statistical modules for the design (sample size and dose
selection) and analysis of two-drug combination studies. It consists of a Readme
file and three R functions.
If you encounter difficulty, please email Susan
Holt to have the programs e-mailed to you.