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Table 1 Candidate design settings for each decision method

From: Improving clinical trials using Bayesian adaptive designs: a breast cancer example

Parameter Posterior PPS, CPS, Goldilocks PPBS
Minimum number of events
  To stop for futility (kF) 10, 20,..., 50
  To stop for success (kS) 10, 20,..., 50
Decision method thresholds
  Lower (dL) 0.05, 0.1, 0.2,..., 0.5 0.005, 0.01, 0.025, 0.05, 0.1, 0.2
  Upper (dU) 0.99, 0.991,..., 0.999 0.95, 0.975, 0.99, 0.995, 0.999, 0.9995
  Significance (dα) 0.03, 0.04,..., 0.07
  Bayesian success (dS) 0.965, 0.97,..., 0.985
  1. PPS Predictive probability of success, CPS Conditional probability of success, PPBS Predictive probability of Bayesian success