# Print Objects Output By OptimDes

### Description

Print an object output by `OptimDes`

.

### Usage

1 2 3 |

### Arguments

`x` |
Object output by |

`dig` |
Number of digits printed. |

`all` |
If |

`condPow` |
The conditional probability of rejecting the null hypothesis computed assuming the alternative distributions
and an interim Z statistic equal to the interim test boundary |

`CMadj` |
If true, the sample sizes and times are adjusted by the ratio of the exact binomial to asymptotic normal sample size for the single stage design, as in Case and Morgan (2003). Proportional adjustments of times and sample sizes are made even if the accrual rates are not constant. Default is false. |

`...` |
Optional print arguments, see |

### Author(s)

Bo Huang <bo.huang@pfizer.com> and Neal Thomas <neal.thomas@pfizer.com>

### References

Huang B., Talukder E. and Thomas N. Optimal two-stage Phase II designs with long-term
endpoints. *Statistics in Biopharmaceutical Research*, **2(1)**, 51–61.

Case M. D. and Morgan T. M. (2003) Design of Phase II cancer trials
evaluating survival probabilities. *BMC Medical Research
Methodology*, **3**, 7.

Lin D. Y., Shen L., Ying Z. and Breslow N. E. (1996) Group seqential
designs for monitoring survival probabilities. *Biometrics*,
**52**, 1033–1042.

Simon R. (1989) Optimal two-stage designs for phase II clinical
trials. *Controlled Clinical Trials*, **10**, 1–10.

### See Also

`plot.OptimDes`

, `OptimDes`