Onoue.Friberg: POMP PK/PD model for docetaxel, combining Onoue et al (2016)...

In dcnorris/DTAT: Dose Titration Algorithm Tuning: a framework for dose individualization

Description

This function produces a POMP model combining docetaxel pharmacokinetics (PK) drawn from Table 2 of Onoue et al (2016) with myelosuppression dynamics drawn from Friberg et al (2002). This model enables simulation of neutrophil-guided dose titration of docetaxel, as done in Norris (2017).

Usage

Onoue.Friberg(N, cycle.length.days = 21, data = data.frame(time =
  c(seq(0, 1.95, 0.05), seq(2, cycle.length.days * 24, 1)), y = NA),
  delta.t = 0.1)

Arguments

N	Size of simulated population.
cycle.length.days	Duration (in days) of chemotherapy cycle to be simulated.
data	Passed through as the data argument of the pomp constructor.
delta.t	Time-step (in hours) of pomp's euler.sim plug-in.

Value

No value is produced; the function sets global variables in package environment DTAT::sim.

Author(s)

David C. Norris

References

1. Onoue H, Yano I, Tanaka A, Itohara K, Hanai A, Ishiguro H, et al. Significant effect of age on docetaxel pharmacokinetics in Japanese female breast cancer patients by using the population modeling approach. Eur J Clin Pharmacol. 2016 Jun;72(6):703-10. doi:10.1007/s00228-016-2031-3.

2. Friberg LE, Henningsson A, Maas H, Nguyen L, Karlsson MO. Model of chemotherapy-induced myelosuppression with parameter consistency across drugs. J Clin Oncol. 2002 Dec 15;20(24):4713-21. doi:10.1200/JCO.2002.02.140.

3. Norris DC. Dose Titration Algorithm Tuning (DTAT) should supersede 'the' Maximum Tolerated Dose (MTD) in oncology dose-finding trials. F1000Research. 2017;6:112. doi:10.12688/f1000research.10624.3. https://f1000research.com/articles/6-112/v3

See Also

pomp

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

dcnorris/DTAT documentation built on May 7, 2019, 10:45 p.m.