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)
<doi:10.1002/sim.3230> and Neuenschwander et al. (2016)
<doi:10.1080/19466315.2016.1174149> for details on the methodology.

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

package-ubuntu-20.04-r-4.0.5#cran#OncoBayes2-0.7-0

<p>Numerically stable summation of log inv logit
</p>

package-ubuntu-20.04-r-4.0.5#cran#OncoBayes2-0.7-0#docs#log_inv_logit

log_inv_logit

Description

Usage

OncoBayes2

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