pdlt_d1ph: Generating a probability of DLT function based on the EWOC...
In dnzmarcio/EWOC: Escalation with Overdose Control

Description Usage Arguments Value Examples

Generating a probability of DLT function based on the EWOC Proportional Hazards model

1	pdlt_d1ph(rho, mtd, shape = NULL, theta, min_dose, max_dose, tau, distribution)

`rho`	a numerical value indicating the true value of the parameter rho.
`mtd`	a numerical value indicating the true value of the parameter mtd.
`shape`	a numerical value indicating the true value of the parameter shape. It is only necessary if 'distribution' = "weibull".
`theta`	a numerical value defining the proportion of expected patients to experience a medically unacceptable, dose-limiting toxicity (DLT) if administered the MTD.
`min_dose`	a numerical value defining the lower bound of the support of the MTD.
`max_dose`	a numerical value defining the upper bound of the support of the MTD.
`tau`	a numerical value defining the period of time for a possible toxicity be observed.
`distribution`	a character establishing the distribution for the time of events. It can be defined as 'exponential' or 'weibull'.

A function with dose as an input and a probability based on the logistic regression and parameters as an output.

pdlt <- pdlt_d1ph(rho = 0.05, mtd = 40, theta = 0.33,
                 min_dose = 30, max_dose = 50,
                 tau = 10, distribution = "exponential")
pdlt(40)