data_normal

vector. treatment assignment for patients, 1 for treatment group and
0 for control group

treatment

vector. normal outcome of the trial.

outcome

vector. similar length as treatment and outcome variable,
1 for complete outcome, 0 for loss to follow up. If complete is not provided,
the dataset is assumed to be complete.

complete

NULL. stores the normal data for analysis, please do not fill it in.

.data

Wrapper function for data file in normal analysis.

Simulation and analysis of Bayesian adaptive clinical trials for binomial, Gaussian, and time-to-event data types,
incorporates historical data and allows early stopping for futility or early success. The package uses novel
and efficient Monte Carlo methods for estimating Bayesian posterior probabilities, evaluation of loss to follow up,
and imputation of incomplete data. The package has the functionality for dynamically incorporating historical data
into the analysis via the power prior or non-informative priors.

data_normal: Data file for normal analysis

Description

Usage

Arguments

Value