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:Yang Ding [aut, cre]

ClinTrialPredict_0.0.4.tar.gz
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ClinTrialPredict.pdf |ClinTrialPredict.html✨
ClinTrialPredict/json (API)
NEWS

# Install 'ClinTrialPredict' in R:
install.packages('ClinTrialPredict', repos = c('https://tomdingbiostat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tomdingbiostat/clintrialpredict/issues

On CRAN:

4.18 score 10 exports 0 dependencies

Last updated 4 days agofrom:f3f06dcbe5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 26 2024
R-4.5-winOKNov 26 2024
R-4.5-linuxOKNov 26 2024
R-4.4-winOKNov 26 2024
R-4.4-macOKNov 26 2024
R-4.3-winOKNov 26 2024
R-4.3-macOKNov 26 2024

Exports:CensRate.OneArmCensTime.TwoArmNumEventsSub.OneArmNumEventsSub.TwoArmObsTime.OneArmObsTime.TwoArmSimData.OneArmSimData.TwoArmTrialPred.OneArmTrialPred.TwoArm

Dependencies:

R packages: Static PDF and HTML vignettes

Rendered fromClinTrialPredict.pdf.asisusingR.rsp::asison Nov 26 2024.

Last update: 2024-11-19
Started: 2024-11-19