stepp: Subpopulation Treatment Effect Pattern Plot (STEPP)
A method to explore the treatment-covariate interactions in survival or generalized
linear model (GLM) for continuous, binomial and count data arising from two or more treatment
arms of a clinical trial. A permutation distribution approach to inference is implemented,
based on permuting the covariate values within each treatment group.
Bonetti M, Gelber RD (2004) <doi:10.1093/biostatistics/5.3.465>.
Marco Bonetti, David Zahrieh, Bernard F. Cole, and Richard D. Gelber (2009) <doi:10.1002/sim.3524>.
Ann A. Lazar, Bernard F. Cole, Marco Bonetti, and Richard D. Gelber (2010) <doi:10.1200/JCO.2009.27.9182>.
Lazar AA,Bonetti M,Cole BF,Yip WK,Gelber RD (2016) <doi:10.1177/1740774515609106>.
Wai-Ki Yip,Marco Bonetti,Bernard F Cole,William Barcella,Xin Victoria Wang,Ann Lazar,and Richard D Gelber (2016) <doi:10.1177/1740774516643297>.
Wang XV, Cole B, Bonetti M, Gelber RD (2016) <doi:10.1002/sim.6958>.
Wai-Ki Yip (2017, ISBN:978-3-319-48846-2).
Version: |
3.2.2 |
Depends: |
methods, car, survival, splines |
Imports: |
rstudioapi, scales |
Published: |
2021-01-11 |
Author: |
Wai-ki Yip [aut, cre],
Ann Lazar [ctb],
David Zahrieh [ctb],
Chip Cole [ctb],
Ann Lazar [ctb],
Marco Bonetti [ctb],
Victoria Wang [ctb],
William Barcella [ctb],
Sergio Venturini [ctb, cre]
Richard Gelber [ctb] |
Maintainer: |
Wai-ki Yip <yuser86 at yahoo.com> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://www.r-project.org |
NeedsCompilation: |
yes |
CRAN checks: |
stepp results |
Documentation:
Downloads:
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