Description Usage Arguments Details Value References Examples

applied_crm is used to execute the continual reassessment method with specified design options to determine the dose for the next subject.

1 2 3 |

`prior` |
A vector of prior estimates of toxicity probabilties for the dose levels. |

`target` |
The target DLT rate. |

`tox` |
A vector of subject outcomes; 1 indicates toxicity, 0 otherwise. |

`level` |
A vector of dose levels assigned to subjects. The length of level must be equal to that of tox. |

`no_skip_esc` |
If FALSE, the method will not enforce no skipping of doses in escalation. Default is TRUE. |

`no_skip_deesc` |
If FALSE, the method will not enforce no skipping of doses in de-escalation. Default is TRUE. |

`global_coherent_esc` |
If FALSE, the method will not enforce global coherent escalation, that is, escalation if the overall rate of toxicity seen at the current dose level is above the target rate. Default is TRUE. |

`stop_func` |
An optional argument to provide a function which will utilised alongside the CRM to determine if the trial should be stopped. |

`...` |
Any other arguments detailed in dfcrm::crm. |

For maximum likelihood estimation, the variance of the estimate of beta (post.var) is approximated by the posterior variance of beta with a dispersed normal prior.

The empiric model is specified as F(d, beta) = d^exp(beta). The logistic model is specified as logit (F(d,beta)) = intcpt + exp(beta) * d. For method="bayes", the prior on beta is normal with mean 0. Exponentiation of beta ensures an increasing dose-toxicity function.

This function is largely a wrapper for the dfcrm function crm. It provides functionality for additional design choices for the CRM including global coherency and stopping for excess toxicity and stopping when sufficient number of subjects are dosed at MTD.

An object of class "mtd" is returned as per package "dfcrm", additional information is provided if a stopping function is used.

`prior` |
Initial guesses of toxicity rates. |

`target` |
The target probability of toxicity at the MTD. |

`ptox` |
Updated estimates of toxicity rates. |

`ptoxL` |
Lower confidence/probability limits of toxicity rates. |

`ptoxU` |
Upper confidence/probability limits of toxicity rates. |

`mtd` |
The updated estimate of the MTD. |

`prior.var` |
The variance of the normal prior. |

`post.var` |
The posterior variance of the model parameter. |

`estimate` |
Estimate of the model parameter. |

`method` |
The method of estimation. |

`model` |
The working model. |

`dosescaled` |
The scaled doses obtained via backward substitution. |

`tox` |
Patients' toxicity indications. |

`level` |
Dose levels assigned to patients. |

`stop` |
A logical variable detailing if the trial should be stopped; TRUE to stop, FALSE otherwise |

`stop_reason` |
A detailed reason for why the trial should be stopped. Only provided if stop is TRUE |

O'Quigley, J. O., Pepe, M., and Fisher, L. (1990). Continual reassessment method: A practical design for phase I clinical trials in cancer. Biometrics 46:33-48.

Cheung, Y. K. (2011). Dose Finding by the Continual Reassessment Method. New York: Chapman & Hall/CRC Press.

1 2 3 4 5 6 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.