CreData: Creates a CRM dataframe

View source: R/CreData.R

CreDataR Documentation

Creates a CRM dataframe

Description

Creates a n-row summary dataframe indicating the number of treated patients and observed DLTs at each of the n dose-levels. This is the dataframe structure that will be needed in the different functions of the UBCRM package.

Usage

CreData(ndose = 3, dosenames = paste("dose", 1:ndose, sep = " "))

Arguments

ndose

Number of dose levels.

dosenames

A ndose-length character vector of labels for the dose levels.

Value

A ndose * 3 dataframe containing:

dose

Integer value 1..ndose ordering the doses.

npt

Integer count of the treated patients at dose i.

ndlt

Integer count of the observed DLT at dose i.

Author(s)

Benjamin Esterni, Baboukar Mane. Unite de Biostatistique et de Methodologie, Institut Paoli-Calmettes, Marseille, France.

References

O'Quigley J., Pepe M., Fisher L. (1990). Continual Reassessment Method: a practical design for Phase I clinical trials in cancer. Biometrics 46, 33-48.

O'Quigley J., Shen LZ. (1996). Continual Reassessment Method: a likelihood approach. Biometrics 52, 673-684.

Paoletti X., Kramar A. (2009). A comparison of model choices for the Continual Reassessment Method in phase I cancer trials. Statistics in Medecine 28, 3012-3028.

Chamorey Emmanuel. (2009). Methodologie des essais de phase precoce en cancerologie: evolution des schemas et apport de la pharmacologie. These.

Garret-Mayer Elizabeth. (2006). The Continual Reassessment Method for dose-finding studies: a tutorial. Clinical Trials: 57-71.

See Also

updata

Examples

data<- CreData(5,c("5 mg/m2","7 mg/m2","10 mg/m2","15 mg/m2","20 mg/m2"))
data

UBCRM documentation built on May 17, 2022, 1:07 a.m.