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ClinicalTrialSummary
View on CRAN: Click
here
Download and install ClinicalTrialSummary package within the R console
Install from CRAN:
install.packages("ClinicalTrialSummary")
Install from Github:
library("remotes")
install_github("cran/ClinicalTrialSummary") Install by package version:
library("remotes")
install_version("ClinicalTrialSummary", "1.1.1") Attach the package and use:
library("ClinicalTrialSummary")
Maintained by
Daewoo Pak
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-07
Latest Update: 2019-01-18
Description:
Provides estimates of several summary measures for clinical trials including
the average hazard ratio, the weighted average hazard ratio, the restricted
superiority probability ratio, the restricted mean survival difference and
the ratio of restricted mean times lost, based on the short-term and
long-term hazard ratio model (Yang, 2005 )
which accommodates various non-proportional hazards scenarios. The inference
procedures and the asymptotic results for the summary measures are discussed
in Yang (2018, ).
How to cite:
Daewoo Pak (2017). ClinicalTrialSummary: Summary Measures for Clinical Trials with Survival Outcomes. R package version 1.1.1, https://cran.r-project.org/web/packages/ClinicalTrialSummary. Accessed 22 Sep. 2026.
Previous versions and publish date:
Other packages that cited ClinicalTrialSummary R package
View ClinicalTrialSummary citation profile
Other R packages that ClinicalTrialSummary depends,
imports, suggests or enhances
Complete documentation for ClinicalTrialSummary
Functions, R codes and Examples using
the ClinicalTrialSummary R package
Some associated functions: ClinicalTrialSummary-internal . ClinicalTrialSummary-package . ggas . ypsummary .
Some associated R codes: RcppExports.R . fun_ahrf.R . fun_ahrypt.R . fun_ahryptwo.R . fun_digit.R . fun_estimate.R . fun_less.R . fun_mdypt.R . fun_mrypt.R . fun_rspypt.R . print.ypsummary.R . summary.ypsummary.R . ypsummary.R . ypsummary.default.R . Full ClinicalTrialSummary package functions and examples
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