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DoseFinding

Planning and Analyzing Dose Finding Experiments

The DoseFinding package provides functions for the design and analysis of dose-finding experiments (with focus on pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models (using Bayesian and non-Bayesian estimation), calculating optimal designs and an implementation of the MCPMod methodology (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).

Functions (21)

DoseFinding-package

Design and Analysis of dose-finding studies

Irritable Bowel Syndrome Dose Response data with covariates

MCPMod - Multiple Comparisons and Modeling

Performs multiple contrast test

Mods

Define dose-response models

Fit a dose-response model using Bayesian or bootstrap methods.

biom

Biometrics Dose Response data

Calculates default bounds for non-linear parameters in dose-response models

Built-in dose-response models in DoseFinding

Fit non-linear dose-response model

Glycopyrronium Bromide dose-response data

Calculate guesstimates based on prior knowledge

Migraine Dose Response data

mvtnorm-control

Control options for pmvt and qmvt functions

Neurodegenerative disease simulated longitudinal dose-finding data set

Calculate optimal contrasts

Function to calculate optimal designs

Evaluate performance metrics for fitting dose-response models

Calculate power for multiple contrast test

Sample size calculations

Calculate dose estimates for a fitted dose-response model (via fitMod or bFitMod) or a Mods object.

DoseFinding

Planning and Analyzing Dose Finding Experiments

v0.9-17

GPL-3

Authors

Bjoern Bornkamp [aut, cre] (<https://orcid.org/0000-0002-6294-8185>), Jose Pinheiro [ctb], Frank Bretz [ctb]

Initial release

2019-11-15

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