OptInterim-package: Optimal Two and Three Stage Designs with Time-to-event...

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

Description

OptimDes is the primary function in the package OptInterim. Detailed documentation of the design and a package vignette with examples can be found under "directory" on the package HTML help page. The user supplies the projected accrual distribution and distributions for time to event under the null and alternative hypotheses. OptimDes returns the total sample size, the interim time and sample size, and boundaries for decision rules.

plot.OptimDes can be applied to the output of OptimDes to evaluate other two-stage or three-stage designs that may achieve near optimal results for both of the implemented optimality criteria. print.OptimDes produces a summary of the design with a comparison to a standard single-stage design (which can also be obtained from FixDes) Design parameters for nearly optimal designs can be evaluated with np.OptimDes. Statistical tests for a two-stage or three-stage design are implemented in TestStage.

The function SimDes produces simulations under the assumed design by default to check the accuracy of asymptotic approximations. By supplying alterative accrual and survival distributions, the performance of the design and estimation can be checked for robustness.

The function weibPmatch can be used to find parameters of a Weibull distribution that match a event-free rate at a specified time. Function weibull.plot displays a null-alternative pair of hypothesized Weibull survival functions.

Details

Package:	OptInterim
Type:	Package
Version:	3.0
Date:	2012-12-03
License:	GPL version 2 or later

Author(s)

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

See Also

Package Survival

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