OncoBayes2 (0.4-4)

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Bayesian Logistic Regression for Oncology Dose-Escalation Trials.


Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) and Neuenschwander et al. (2016) for details on the methodology.

Maintainer: Sebastian Weber
Author(s): Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Andrew Bean [aut], Trustees of Columbia University [cph] (src/init.cpp, tools/make_cc.R, R/stanmodels.R, src/Makevars, src/Makevars.win)

License: GPL (>= 3)

Uses: abind, assertthat, bayesplot, checkmate, dplyr, Formula, ggplot2, RBesT, Rcpp, rstan, rstantools, tibble, tidyr, mvtnorm, testthat, knitr, rmarkdown, tidybayes

Released 3 months ago.



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