Introduction | Step 1: Dose Response in a New RA Study | Data | Pre-specified alpha-controlled hypothesis testing: MCP-Mod Trend Test | Setting up Prior for DR analysis | Fit Bayesian Dose Response | Posterior Diagnostics | Posterior Inference | Assessing the Need For a Second Study and Its Potential Design | Step 2: Dose Response in a Second RA Study | Bayesian Emax Model fitting | Dose Selection

Introduction | Installation | Primary clinDR functions | Dose response meta-data | Example

Overview | Binary Response | Deriving a Mixture Prior Using RBesT | Data | Computing a MAP Prior MCMC Sample using gMAP | Parametric Approximation Derived from the MCMC Sample | Robustification and Effective Sample Size | Fit Binary Bayesian Emax Model with Mixture Prior for E0 | Continuous Response | Parametric Approximation derived from the MCMC Sample | Bayesian Emax Model with a Mixture Prior for E0 | Simulated dose response study | Model fit using fitEmaxB | References