oc_tepi | R Documentation |
oc_tepi()
uses the TEPI design to compute operating charateristics of a user-specificed trial scenario.
This design maps toxicity and efficacy intervals onto a decision table, forming 16 regions.
oc_tepi(
ndose,
target_t,
lower_e,
ncohort = 10,
cohortsize = 3,
startdose = 1,
OBD = 0,
effint_l = c(0, lower_e, lower_e + 0.2, lower_e + 0.4),
effint_u = c(lower_e, lower_e + 0.2, lower_e + 0.4, 1),
toxint_l = c(0, 0.15, target_t, target_t + 0.05),
toxint_u = c(0.15, target_t, target_t + 0.05, 1),
psafe = 0.95,
pfutility = 0.95,
ntrial = 10000,
utilitytype = 1,
u1,
u2,
prob = NULL
)
ndose |
Integer. Number of dose levels. (Required) |
target_t |
Numeric. Target toxicity probability. (Required) |
lower_e |
Numeric. Minimum acceptable efficacy probability. (Required) |
ncohort |
Integer. Number of cohorts. (Default is |
cohortsize |
Integer. Size of a cohort. (Default is |
startdose |
Integer. Starting dose level. (Default is |
OBD |
Integer. True index of the Optimal Biological Dose (OBD) for the trial scenario. (Default is 0)
|
effint_l |
Lower efficacy bounds for dose assignment decision table. (Default is |
effint_u |
Lower efficacy bounds for dose assignment decision table. (Default is |
toxint_l |
Lower toxicity bounds for dose assignment decision table. (Default is |
toxint_u |
Lower toxicity bounds for dose assignment decision table. (Default is |
psafe |
Numeric. Early stopping cutoff for toxicity. (Default is |
pfutility |
Numeric. Early stopping cutoff for efficacy. (Default is |
ntrial |
Integer. Number of random trial replications. (Default is |
utilitytype |
Integer. Type of utility structure. (Default is
|
u1 |
Numeric. Utility parameter w_11. (0-100) |
u2 |
Numeric. Utility parameter w_00. (0-100) |
prob |
Fixed probability vectors. If not specified, a random scenario is used by default. Use this parameter to provide fixed probability vectors as a list of the following named elements:
For example: prob <- list( pE = c(0.4, 0.5, 0.6, 0.6, 0.6), pT = c(0.1, 0.2, 0.3, 0.4, 0.4), obd = 3, mtd = 2 ) |
A list containing operating characteristics such as:
OBD selection percentage
Favorable dose selection percentage
Average percentage of patients at the OBD
Average percentage of patients at the favorable doses
Percentage of early stopped trials
Overdose patients percentage
Poor allocation percentage
Overdose selection percentage
oc_tepi(
ndose = 5,
target_t = 0.3,
lower_e = 0.4,
ntrial = 10,
)
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