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SPCDAnalyze
View on CRAN: Click
here
Download and install SPCDAnalyze package within the R console
Install from CRAN:
install.packages("SPCDAnalyze")
Install from Github:
library("remotes")
install_github("cran/SPCDAnalyze")
Install by package version:
library("remotes")
install_version("SPCDAnalyze", "0.1.0")
Attach the package and use:
library("SPCDAnalyze")
Maintained by
David A. Schoenfeld
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SPCDAnalyze . SPCDAnalyze results . SPCDAnalyze.pdf . SPCDAnalyze_0.1.0.tar.gz . SPCDAnalyze_0.1.0.zip . SPCDAnalyze_0.1.0.zip . SPCDAnalyze_0.1.0.zip . SPCDAnalyze_0.1.0.tgz . SPCDAnalyze_0.1.0.tgz . SPCDAnalyze_0.1.0.tgz . SPCDAnalyze_0.1.0.tgz . https://CRAN.R-project.org/package=SPCDAnalyze .
First Published: 2019-03-12
Latest Update: 2019-03-12
Description:
Programs to find the sample size or power of studies using the Sequential Parallel Comparison Design (SPCD) and programs to analyze such studies. This is a clinical trial design where patients initially on placebo who did not respond are re-randomized between placebo and active drug in a second phase and the results of the two phases are pooled. The method of analyzing binary data with this design is described in Fava,Evins, Dorer and Schoenfeld(2003) <doi:10.1159/000069738>, and the method of analyzing continuous data is described in Chen, Yang, Hung and Wang (2011) <doi:10.1016/j.cct.2011.04.006>.
How to cite:
David A. Schoenfeld (2019). SPCDAnalyze: Design and Analyze Studies using the Sequential Parallel Comparison Design. R package version 0.1.0, https://cran.r-project.org/web/packages/SPCDAnalyze. Accessed 22 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SPCDAnalyze R package
View SPCDAnalyze citation profile
Other R packages that SPCDAnalyze depends,
imports, suggests or enhances
Complete documentation for SPCDAnalyze
Functions, R codes and Examples using
the SPCDAnalyze R package
Some associated functions: SPCDPower . SPCDbinary . SPCDcontinuous . createTestData . placeboNonResponder . runGls . runSlopes .
Some associated R codes: SPCDpower.R . SPCDslopes.R . Full SPCDAnalyze package functions and examples
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