Two-Stage Adaptive Dose-Finding Clinical Trial Design
Generates parameters for the beta distribution # I don't think we need...
Calculate DLT probability corresponding to average nTTP for each dose
Generates efficacy outcomes for stage 1 when using nTTP to measure tox...
Generates efficacy outcomes for stage 1 when using binary toxicity
Obtain average nTTP at each dose level
Calculates likelihood of safety for single dose, using nTTP
Calculates likelihood of safety for single dose
Simulate full trial (both stages) x times when using nTTP to measure t...
Calculates randomization probabilities and dose allocation for next pa...
Stage 2 Adaptive Randomization with nTTP to monitor toxicity
Stage 2 Adaptive Randomization
Launch Shiny app
Identify safe/acceptable doses from stage 1 based on nTTP scores.
Identify safe/acceptable doses from stage 1 based on observed binary t...
Generate plots for estimated percent allocation and response per dose.
Visualize simulation results (Stages 1&2)
Simulate full trial (both stages) x times when using nTTP to measure t...
Simulate full trial (both stages) x times
Generate nTTPs toxicity scores and the likelihhood-ratio (LR) per dose
Generates DLTs and calculates the likelihood-ratio (LR) for each dose
Simulate and implement early phase two-stage adaptive dose-finding design for binary and quasi-continuous toxicity endpoints. See Chiuzan et al. (2018) for further reading <DOI:10.1080/19466315.2018.1462727>.