AnalyzeEKOAD: Analyze simulated adaptive trials.

In arsenionhacolo/InferenceBEAGSD: Inference for Binary Endpoint Adaptive Group-Sequential Designs

Description

AnalyzeEKOAD performs inference on trials simulated by the function SimulateEKOAD using the methods proposed by Nhacolo and Brannath (2018) and naive maximum likelihood.

Usage

AnalyzeEKOAD(replicates = NULL, basedir = NULL)

Arguments

replicates	Number of simulated trials to be analysed. If NULL (default), all trials found in ./basedir/SimulatedTrials are analysed.
basedir	The base directory containing the sub-directory SimulatedTrials with the simulated trials. If NULL (default), the current working directory is uded.

Details

Overall p-values, point estimates and confidence intervals are calculated.

Value

A dataframe with the results. A copy is saved in the file Results.csv in the basedir.

Author(s)

Arsenio Nhacolo

References

Nhacolo, A. and Brannath, W. Interval and point estimation in adaptive Phase II trials with binary endpoint. Stat Methods Med Res, 2018.

See Also

SimulateEKOAD, mue1, mue2, mue2v2, mue3.

arsenionhacolo/InferenceBEAGSD documentation built on May 9, 2019, 4:10 a.m.