PseudoSimulationsSummary

This 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.

Usage

.DefaultPseudoSimulationsSummary()

Slots

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

Note

Typically, end users will not use the .DefaultPseudoSimulationsSummary() function.