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'))

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

On CRAN:

4.18 score 1 stars 191 downloads 10 exports 0 dependencies

Last updated 3 months agofrom:f3f06dcbe5. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 25 2025
R-4.5-winOKJan 25 2025
R-4.5-linuxOKJan 25 2025
R-4.4-winOKJan 25 2025
R-4.4-macOKJan 25 2025
R-4.3-winOKJan 25 2025
R-4.3-macOKJan 25 2025

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 Jan 25 2025.

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