summary-bdpnormal-method: bdpnormal Object Summary

In bayesDP: Implementation of the Bayesian Discount Prior Approach for Clinical Trials

bdpnormal Object Summary

Description

summary method for class bdpnormal.

Usage

## S4 method for signature 'bdpnormal'
summary(object)

Arguments

object

object of class bdpnormal. The result of a call to the bdpnormal function.

Details

Displays a summary of the bdpnormal fit including the input data, the stochastic comparison between current and historical data, and the resulting historical data weight (alpha). If historical data is missing then no stochastic comparison nor weight are displayed.

In the case of a one-arm analysis, the displayed 95 percent CI contains the lower and upper limits of the augmented mean value of the current data. The displayed mean of treatment group is the mean of the current data augmented by the historical data.

When a control arm is present, a two-arm analysis is carried out. Now, the displayed 95 percent CI contains the lower and upper limits of the difference between the treatment and control arms with the historical data augmented to current data, if present. The displayed posterior sample estimates are the mean of the treatment and control arms, each of which are augmented when historical data are present.

bayesDP documentation built on March 18, 2022, 7:41 p.m.