Design-informed truncation time selection
Introduction | Quick start: a runnable toy example | The planned design | Stage 1: assessing the clinically proposed truncation time | How can ($\tau = 24$) months be made feasible? | Approach 1: increase the additional follow-up period | Approach 2: select an earlier truncation time | Approach 3: increase the sample size | Customizing the hard-failure rules | Function "optimize_tau()": feasibility-constrained optimization | The complete two-stage workflow | Why is one table called the independent evaluation table?