Dose Titration Algorithm Tuning
Extract the dose-survival curve, with its upper and lower confidence b...
Simulate a 3+3/PC dose-titration trial
Perform neutrophil-guided dose titration of a chemotherapy drug.
Convert a DE object to JSON
An S4 class for simulating dose-titration study designs
Calculate a dose-survival curve from a dose titration study, adding a ...
Extract interval-censored dose tolerance data from a dose titration st...
Dose Titration Algorithm Tuning: a Framework for Dose Individualizatio...
A dose titration algorithm (DTA) 'factory' based on the Newton-Raphson...
POMP PK/PD model for docetaxel, combining Onoue et al (2016) with Frib...
Plot a DE object as an interactive htmlwidget
Objects exported from other packages
Run Shiny apps included in package DTAT
Power-law scaling for doses
A seq method supporting custom-scaled plot axes.
Environment for simulation global variables.
Dose Titration Algorithm Tuning (DTAT) is a methodologic framework allowing dose individualization to be conceived as a continuous learning process that begins in early-phase clinical trials and continues throughout drug development, on into clinical practice. This package includes code that researchers may use to reproduce or extend key results of the DTAT research programme, plus tools for trialists to design and simulate a '3+3/PC' dose-finding study. Please see Norris (2017a) <doi:10.12688/f1000research.10624.3> and Norris (2017c) <doi:10.1101/240846>.