Print information regarding a trial conducted using the Bayesian continuous reassessment method


Print method for a trial or series of trials conducted using a bcrm model.


## S3 method for class 'bcrm'
print(x, ...)
## S3 method for class 'bcrm.sim'
print(x, tox.cutpoints = NULL, trajectories = FALSE, threep3 = FALSE, ...)



An object of class "bcrm" or "bcrm.sim" as returned by bcrm


An optional argument passed to print.bcrm.sim specifying the cutpoints of toxicity for which the operating characteristics are to be categorised. Defaults to seq(from=0,to=1,by=0.2)


Should the individual simulation dose and outcome trajectories be returned? Defaults to FALSE.


Should operating characteristics of a standard 3+3 rule-based design be displayed alongside those from the bcrm design? Defaults to FALSE.


Further arguments passed to or from other methods


If a single trial is conducted, then the print function currently produces summary information about the design used, the data observed, current posterior estimates of toxicity, and the next recommended dose level. If a simulation study is conducted, then the following operating characteristics are printed:

Experimentation proportion

Proportion of patients recruited to each dose, and to each true region of toxicity, across the simulated trials

Recommendation proportion

Proportion of trials that recommend each of the dose levels as the final maximum tolerated dose (i.e. with toxicity "closest" to the target toxicity level), and the associated regions of true toxicity for the recommended MTDs

If trajectories = TRUE then the dose level administered and outcome observed are returned as matrices for every patient (column) in every simulation (row). If threep3 = TRUE then the operating characteristics of the standard 3+3 design are displayed alongside those of the bcrm design (see threep3 for more details).


The following two components are returned from print.bcrm.sim:


A matrix with number of rows equal to the number of doses, and number of columns equal to the number of simulations. Gives the experimentation proportions for each dose within each simulation.


A vector with length equal to the number of simulations, giving the recommended MTD for each simulation.


Michael Sweeting (University of Cambridge, UK)


Sweeting M., Mander A., Sabin T. bcrm: Bayesian Continual Reassessment Method Designs for Phase I Dose-Finding Trials. Journal of Statistical Software (2013) 54: 1–26.

See Also

bcrm, threep3

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