Phase I/II CRM Based Drug Combination Design
Title: Get 6 complete orderings for toxicity and efficacy for drug com...
Efficacy estimation
empiric model with gamma prior
empiric model with normal prior
Plot patient enrollment for single trial
Complete orderings for combinations of two drugs
one-parameter logistic model with gamma prior
one-parameter logistic model with normal prior
two-parameter logistic model with gamma prior
two-parameter logistic model with normal prior
Maximization phase
Plot optimal combination dose selections
Plot patient allocation for a single trial
Generate the skeletons of toxicity and efficacy
Adaptive randomization
Generate correlated binary variables
Sample plot for a given output results
Single simulation of phase I/II adaptive design for drug combinations ...
Title: Bayesian likelihood inference
Toxicity estimation
Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.