OptimDesControl: Set parameters controlling numerical methods for OptimDes and...

In OptInterim: Optimal Two and Three Stage Designs for Single-Arm and Two-Arm Randomized Controlled Trials with a Long-Term Binary Endpoint

Description

Set parameters controlling numerical methods for OptimDes and np.OptimDes

Usage

OptimDesControl(trace=TRUE,tol=0.01,n.int=c(1,5),aboveMin=c(1.05,1.10))

Arguments

trace	A logical value indicating if a trace of the iteration progress should be printed. Default is FALSE. If TRUE the sample size n, the corresponding optimal correlation rho and minimized EDA(ETSL) are printed at the conclusion of each iteration.
tol	tol is the desired accuracy for optimize. Default is 0.01.
n.int	A two-element vector containing the grid search interval for maximum sample size of one-arm and two-arm designs. Default is c(1, 5).
aboveMin	The minimization method searches by increasing order from the single-stage sample size until the criteria exceeds the current minimum by a multiplicative factor of aboveMin. The search will also terminate if sum(m.init) is reached. Default is 1.05 for one-arm, 1.10 for two-arm designs.

Author(s)

Bo Huang <[e-mail]> and Neal Thomas <[e-mail]>

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

OptimDes, np.OptimDes

OptInterim documentation built on May 2, 2019, 2:07 p.m.