Package: SPCDAnalyze 0.1.0
David A. Schoenfeld
SPCDAnalyze: Design and Analyze Studies using the Sequential Parallel Comparison Design
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>.
Authors:
SPCDAnalyze_0.1.0.tar.gz
SPCDAnalyze_0.1.0.tar.gz(r-4.5-noble)SPCDAnalyze_0.1.0.tar.gz(r-4.4-noble)
SPCDAnalyze_0.1.0.tgz(r-4.4-emscripten)SPCDAnalyze_0.1.0.tgz(r-4.3-emscripten)
SPCDAnalyze.pdf |SPCDAnalyze.html✨
SPCDAnalyze/json (API)
| # Install 'SPCDAnalyze' in R: |
| install.packages('SPCDAnalyze', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:3b7be324fb. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 05 2024 |
| R-4.5-linux | OK | Dec 05 2024 |
Exports:createTestDataplaceboNonResponderrunGlsrunSlopesSPCDbinarySPCDcontinuousSPCDPower
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrplyrRcppRcppEigen
