Print Simulated Trials of a BOIN Design with Backfilling
Source:R/print.backfill_trials.R
print.backfill_trials.RdSummarize the trials returned by bf_boin_simulate or
be_boin_simulate: the design, the average numbers of
patients, backfilled patients, DLTs and responses at each dose, the trial
duration, the waiting of the dose escalation and the reasons for stopping.
Usage
# S3 method for class 'backfill_trials'
print(x, ...)Examples
trials <- bf_boin_simulate(
target = 0.25,
p_true = c(0.04, 0.12, 0.25, 0.43, 0.63),
p_resp = c(0.10, 0.20, 0.30, 0.45, 0.58),
n_cohort = 10, cohort_size = 3, window = 1, accrual_rate = 3,
n_trials = 100, seed = 1
)
print(trials)
#> Simulated BF-BOIN (Zhao et al., 2024) trials
#> trials : 100
#> doses : 5
#> target DLT rate : 0.25
#> cohorts : 10 of size 3
#> escalation size : 30
#> backfill cap : 12 patients per dose
#> window : 1 (DLT), 1 (response)
#> accrual : 3 patients per unit of time (exponential)
#>
#> Average per trial:
#> DL1 DL2 DL3 DL4 DL5
#> Patients treated 8.79 13.81 11.97 3.29 0.30
#> of which backfilled 2.88 3.70 1.89 0.23 0.00
#> DLTs observed 0.44 1.76 2.96 1.56 0.18
#> Responses 1.01 2.90 3.36 1.45 0.17
#>
#> Patients per trial : mean 38.16, of which backfilled 8.7
#> Trials with backfill : 92%
#> Trial duration : mean 17.11, median 17.21
#> Escalation waiting : 100% of trials, mean time 6.72 per trial
#>
#> Stopping reason (%):
#>
#> max_sample_size n_earlystop
#> 87 13