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DTAT (version 0.3-6)

Dose Titration Algorithm Tuning

Description

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) and Norris (2017c) .

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Version

Install

install.packages('DTAT')

Monthly Downloads

244

Version

0.3-6

License

MIT + file LICENSE

Maintainer

David C. Norris

Last Published

March 29th, 2023

Functions in DTAT (0.3-6)

POMP PK/PD model for docetaxel, combining Onoue et al (2016) with Friberg et al (2002)

Extract interval-censored dose tolerance data from a dose titration study

A dose titration algorithm (DTA) 'factory' based on the Newton-Raphson heuristic

as_d3_data,DE-method

Convert a DE object to JSON

Dose Titration Algorithm Tuning: a Framework for Dose Individualization in Drug Development

An S4 class for simulating dose-titration study designs

plot,DE,missing-method

Plot a DE object as an interactive htmlwidget

Power-law scaling for doses

Run Shiny apps included in package DTAT

Extract the dose-survival curve, with its upper and lower confidence band limits

de.bioRxiv.240846

Simulated ‘3+3/PC’ dose-titration study from bioRxiv paper no. 240846

Calculate a dose-survival curve from a dose titration study, adding a confidence band

Precomputed neutrophil-guided chemotherapy dose titration for 1000 simulated subjects.

Objects exported from other packages

A seq method supporting custom-scaled plot axes.

Perform neutrophil-guided dose titration of a chemotherapy drug.

Environment for simulation global variables.

Simulate a ‘3+3/PC’ dose-titration trial