Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Version: 0.1.0 Depends: R (≥ 4.0.0) Imports: clustermq, dplyr, ggplot2, MASS, Matrix, methods, posterior, Rcpp, RcppParallel, rlang, rstan (≥ 2.26.0), rstantools, stats, tibble, tidyr, tidyselect, trialr, utils, withr, zoo LinkingTo: BH, Rcpp, RcppEigen, RcppParallel, rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0) Suggests: knitr, markdown, rmarkdown, testthat (≥ 3.0.0) Published: 2024-09-25 DOI: 10.32614/CRAN.package.historicalborrowlong Author: William Michael Landau [aut, cre], Albert Man [rev], Eli Lilly and Company [cph] Maintainer: William Michael Landau <will.landau.oss at gmail.com> BugReports: https://github.com/wlandau/historicalborrowlong/issues License: MIT + file LICENSE URL: https://wlandau.github.io/historicalborrowlong/, https://github.com/wlandau/historicalborrowlong NeedsCompilation: yes SystemRequirements: GNU make Language: en-US Materials: README, NEWS CRAN checks: historicalborrowlong resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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