PseudoSimulationsSummaryThis class captures the summary of pseudo-models simulations output. Note that objects should not be created by users, therefore no initialization function is provided for this class.
.DefaultPseudoSimulationsSummary()target_end_of_trial(numeric)
the target probability of DLE wanted at the end of a trial
target_dose_end_of_trial(numeric)
the dose level corresponds to the target probability
of DLE wanted at the end of a trial, TDEOT
target_dose_end_of_trial_at_dose_grid(numeric)
the dose level at dose grid corresponds to the
target probability of DLE wanted at the end of a trial
target_during_trial(numeric)
the target probability of DLE wanted during a trial
target_dose_during_trial(numeric)
the dose level corresponds to the target probability of DLE
wanted during the trial. TDDT
target_dose_during_trial_at_dose_grid(numeric)
the dose level at dose grid corresponds to the
target probability of DLE wanted during a trial
tdeot_summary(table)
the six-number table summary, include the lowest, the 25th percentile
(lower quartile), the 50th percentile (median), the mean, the 75th percentile and the highest values of the
final dose levels obtained corresponds to the target probability of DLE
want at the end of a trial across all simulations
tddt_summary(table)
the six-number table summary, include the lowest, the 25th percentile
(lower quartile), the 50th percentile (median), the mean, the 75th percentile and the highest values of the
final dose levels obtained corresponds to the target probability of DLE
want during a trial across all simulations
final_dose_rec_summary(table)
the six-number table summary, include the lowest, the 25th percentile
(lower quartile), the 50th percentile (median), the mean, the 75th percentile and the highest values of the
final optimal doses, which is either the TDEOT when only DLE response are incorporated into
the escalation procedure or the minimum of the TDEOT and Gstar when DLE and efficacy responses are
incorporated, across all simulations
ratio_tdeot_summary(table)
the six-number summary table of the final ratios of the upper to the
lower 95% credibility intervals of the final TDEOTs across all simulations
final_ratio_summary(table)
the six-number summary table of the final ratios of the upper to the
lower 95% credibility intervals of the final optimal doses across all simulations
nsim(integer)
number of simulations
prop_dle(numeric)
proportions of DLE in the trials
mean_tox_risk(numeric)
mean toxicity risks for the patients
dose_selected(numeric)
doses selected as MTD (target_dose_end_of_trial)
tox_at_doses_selected(numeric)
true toxicity at doses selected
prop_at_target_end_of_trial(numeric)
Proportion of trials selecting at the dose_grid closest below the
MTD, the target_dose_end_of_trial
prop_at_target_during_trial(numeric)
Proportion of trials selecting at the dose_grid closest below
the target_dose_during_trial
dose_most_selected(numeric)
dose most often selected as MTD
obs_tox_rate_at_dose_most_selected(numeric)
observed toxicity rate at dose most often
selected
n_obs(integer)
number of patients overall
n_above_target_end_of_trial(integer)
number of patients treated above target_dose_end_of_trial
n_above_target_during_trial(integer)
number of patients treated above target_dose_during_trial
dose_grid(numeric)
the dose grid that has been used
fit_at_dose_most_selected(numeric)
fitted toxicity rate at dose most often selected
mean_fit(list)
list with the average, lower (2.5%) and upper (97.5%)
quantiles of the mean fitted toxicity at each dose level
stop_report(matrix)
matrix of stopping rule outcomes