We provide on-line computational routines for sample size and power in microarray studies.
Lee, M.-L. T. (2004). Analysis of Microarray Gene Expression Data, Kluwer Academic Publishers, ISBN 0-7923-7087-2.
RANK ANALYSIS OF
MICROARRAYS (RAM)
We provide
R codes used in Lee, Gray, Bjorkbacka, Freeman.(2005).
Generalized
Rank Tests for Replicated Microarray Data, Statistical Applications in Genetics and Molecular Biology, Vol. 4: No. 1,
Article 3. http://www.bepress.com/sagmb/vol4/iss1/art3
Threshold Regression (Test Version)
We provide SAS, R, and STATA software packages (all the packages are still in beta versions currently, you are welcome to test them and send us your feedbacks) to implement threshold regression as discussed in
Lee M-LT,
Whitmore GA (2006),
Threshold regression for survival analysis:
Modeling event times by a stochastic process.
Statistical Science, 21: 501-513
Generalized Rank Based Tests for Clustered Data
From this link you will find SAS codes for generalized ranksum tests for clustered data as discussed in the following 3 articles:
Rosner B,
Glynn RJ, Lee, M-LT,
Incorporating of clustering effects for the Wilcoxon rank sum test: a large
sample approach. Biometrics, 2003, 59: 1089-1098.
Rosner B,
Glynn RJ, Lee, M-LT,
The Wilcoxon signed rank test for paired comparisons of clustered data. Biometrics, 2006; 62: 185-192.
Rosner B,
Glynn RJ, Lee, M-LT,
Extension of the Rank Sum Test for Clustered Data: two group comparisons with group membership defined at the subunit level. Biometrics, 2006, 62: 1251-1259.