Introduction | Assumptions and models | Application | Simulation study
Package: ClinTrialPredict 0.0.4
ClinTrialPredict: Predicting and Simulating Clinical Trial with Time-to-Event Endpoint
Predict the course of clinical trial with a time-to-event endpoint for both two-arm and single-arm design. Each of the four primary study design parameters (the expected number of observed events, the number of subjects enrolled, the observation time, and the censoring parameter) can be derived analytically given the other three parameters. And the simulation datasets can be generated based on the design settings.
Authors:
ClinTrialPredict_0.0.4.tar.gz
ClinTrialPredict_0.0.4.zip(r-4.7-any)ClinTrialPredict_0.0.4.zip(r-4.6-any)ClinTrialPredict_0.0.4.zip(r-4.5-any)
ClinTrialPredict_0.0.4.tgz(r-4.6-any)ClinTrialPredict_0.0.4.tgz(r-4.5-any)
ClinTrialPredict_0.0.4.tar.gz(r-4.7-any)ClinTrialPredict_0.0.4.tar.gz(r-4.6-any)
ClinTrialPredict_0.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ClinTrialPredict/json (API)
| # Install 'ClinTrialPredict' in R: |
| install.packages('ClinTrialPredict', repos = c('https://tomdingbiostat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tomdingbiostat/clintrialpredict/issues
Last updated from:8d47a2f2f5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 104 | ||
| source / vignettes | OK | 200 | ||
| linux-release | OK | 142 | ||
| macos-release | OK | 163 | ||
| macos-oldrel | OK | 194 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 57 | ||
| windows-oldrel | OK | 54 | ||
| wasm-release | OK | 78 |
Exports:CensRate.OneArmCensTime.TwoArmNumEventsSub.OneArmNumEventsSub.TwoArmObsTime.OneArmObsTime.TwoArmSimData.OneArmSimData.TwoArmTrialPred.OneArmTrialPred.TwoArm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate the censoring rate for a one-arm design | CensRate.OneArm |
| Calculate the censoring rate for a two-arm clinical trial | CensTime.TwoArm |
| Calculate the expected number of events or number of subjects enrolled in a one-arm clinical trial | NumEventsSub.OneArm |
| Calculate the expected number of events or number of subjects enrolled in a two-arm clinical trial | NumEventsSub.TwoArm |
| Calculate the observation time for a one-arm clinical trial | ObsTime.OneArm |
| Calculate the observation time for a two-arm clinical trial | ObsTime.TwoArm |
| Simulating survival dataset for a one-arm design | SimData.OneArm |
| Simulating survival dataset for a two-arm design | SimData.TwoArm |
| Function for predicting one-arm clinical trial | TrialPred.OneArm |
| Function for predicting two-arm clinical trial | TrialPred.TwoArm |