Description Usage Arguments Details Value References Examples

`crm`

is used to compute a dose for the next patient in a phase I
trial according to the CRM.

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`prior` |
A vector of initial guesses of toxicity probabilities associated the doses. |

`target` |
The target DLT rate. |

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

`level` |
A vector of dose levels assigned to patients. The length
of |

`n` |
The number of patients enrolled. |

`dosename` |
A vector containing the names of the regimens/doses
used. The length of |

`include` |
A subset of patients included in the dose calculation. |

`pid` |
Patient ID provided in the study. Its length must be equal
to that of |

`conf.level` |
Confidence level for the probability/confidence interval of the returned dose-toxicity curve. |

`method` |
A character string to specify the method for parameter
estimation. The default method |

`model` |
A character string to specify the working model used in
the method. The default model is |

`intcpt` |
The intercept of the working logistic model. The
default is 3. If |

`scale` |
Standard deviation of the normal prior of the model parameter. Default is sqrt(1.34). |

`model.detail` |
If FALSE, the model content of an |

`patient.detail` |
If FALSE, patient summary of an |

`var.est` |
If TRUE, variance of the estimate of the model parameter and probability/confidence interval for the dose-toxicity curve will be computed |

For maximum likelihood estimation, the variance of the estimate of
*β* (`post.var`

) is approximated by the posterior variance of
*β* with a dispersed normal prior.

The empiric model is specified as *F(d, β) = d^{\exp(β)}*.
The logistic model is specified as logit *(F(d,β))* = `intcpt`

*+ \exp(β) \times d*. For `method="bayes"`

, the prior on
*β* is normal with mean 0. Exponentiation of *β* ensures an
increasing dose-toxicity function.

An object of class `"mtd"`

is returned, consisting of the summary
of dose assignments thus far and the recommendation of dose for the
next patient.

`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. |

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.

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